people2

 

Geordie Rose

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Geordie Rose

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Geordie is co-founder and CEO of Kindred, and the founder, CEO and then CTO of D-Wave. He has spoken at TED and a range of other high profile events and has received coverage from The Economist, The New York Times, Wired, MIT Tech Review, Science, and Nature Magazine. In February 2014, Time Magazine featured D-Wave on its cover.

Geordie never has fun of any kind, preferring to focus all of his energy on understanding what is intelligence, building machines that have it, and building a world-class company delivering intelligent machines that solve difficult real world problems.

He has a Ph.D. in theoretical physics from the University of British Columbia, an inventor on 35 granted U.S. patents, and a co-author on a large number of published scientific articles, including two Nature papers, more than a dozen PRLs and PRBs, two NIPS and one ACML paper. He was named the 2011 Canadian Innovator of the Year, was named to Foreign Policy Magazine’s 100 Leading Global Thinkers of 2013, won the 2014 Canadian Technology Leader Award, has won two Canadian national wrestling championships, and is a member of the McMaster University Hall of Fame. Geordie won world championships in 2010 in Brazilian Jiu-Jitsu in both gi and no-gi categories. He won the provincial A beach volleyball championship with Jason Hall in 2003. For a short time Geordie held the Guinness Book of World Records world record for the most yogurt eaten in one minute, was a past holder of British Columbia powerlifting records in the deadlift and total for the 105kg master’s division, and has completed four half-marathons and one full marathon.

Suzanne Gildert

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Suzanne Gildert

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Suzanne is co-founder and CSO of Kindred. She oversees the design and engineering of the company's human-like robots and is responsible for the development of cognitive architectures that allow these robots to learn about themselves and their environments. Before founding Kindred, Suzanne worked as a physicist at D-Wave, designing and building superconducting quantum processors, and as a researcher in quantum artificial intelligence software applications.

Suzanne likes science outreach, retro tech art, coffee, cats, electronic music and extreme lifelogging. She is a published author of a book of art and poetry. She is passionate about robots and their role as a new form of symbiotic life in our society.

Suzanne received her Ph.D. in experimental physics from the University of Birmingham (UK) in 2008, specializing in quantum device physics, microfabrication techniques, and low-temperature measurements of novel superconducting circuits.

James Bergstra

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James Bergstra

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James is a co-founder and Chief Technology Officer at Kindred. He oversees the development of Kindred’s technology around ongoing advances in machine learning. Before Kindred, he was a Banting Postdoctoral Fellow at the University of Waterloo and a Research Scholar at Harvard University. Many researchers have used the Theano and Hyperopt software packages that James developed as a graduate student and post-graduate researcher.

Fun for James is family, Toronto (by bike as much as possible), thinking and reading about intelligence, organizations, economics, computing and programming languages.

James was granted a Ph.D. in machine learning by the University of Montreal in 2011 for his work in bio-inspired non-linearities in deep networks, hyperparameter optimization, and the creation of the Theano deep learning library. He received one of twenty-six Banting Postdoctoral Fellowships awarded by Canada’s National Science and Engineering Research Council in 2011-2012. His joint work with Aaron Courville and Yoshua Bengio on energy based modeling with spike-and-slab priors earned a People’s Choice award at AISTATS 2011. His master’s work won an international programming competition for music classification at ISMIR in 2006. He received a B.Sc. with honors in computer science with specialization in mathematics from the University of Toronto. In the sixth grade, he was a provincial finalist in Ontario for a speech on life from the perspective of a tree.

Graham Taylor

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Graham Taylor

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Graham is a co-founder and internationally recognized expert in deep learning. He builds relationships between Kindred and academia.

Graham enjoys music, film, and long walks, especially in autumn.

He is a professor of computer engineering at the University of Guelph and an Azrieli Global Scholar at the Canadian Institute for Advanced Research. Graham has trained more than 45 students and staff members since his appointment.

George Babu

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George Babu

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George is a co-founder and Kindred’s chief product officer. Before Kindred, George was an early stage venture investor at a $100 billion pension fund, co-founded an enterprise software company acquired by Salesforce, and engineered RF systems, managed patent portfolios and assisted with patent litigation at BlackBerry.

He enjoys cycling in the countryside, running in new places, and learning about anything and everything.

George is a graduate of the Engineering Science program at the University of Toronto specializing in electrical engineering. He also earned his JD and MBA from the University of Toronto, a Fellowship from the Kauffman Center for Venture Education, and studied product management at the Haas School of Business at the University of California, Berkeley. George holds several patents on predicting what a smartphone user is typing.

Jim Liefer

Jim Liefer

Jim is chief operating officer at Kindred. He is responsible for deployment of Kindred’s first commercial product, day-to-day execution, finance, procurement, implementation and customer support groups, and people operations.

Liefer brings 35 years of operations and technology development experience to the role. Most recently he served as One Kings Lane’s COO where he supported three years of consecutive year-over-year growth of more than 100%, managing transportation, fulfillment, vendor management, customer care, human resources, and corporate real estate. Before One Kings Lane, he was vice president of operations for Walmart.com, responsible for large teams, and identifying and implementing processes and systems that could scale and continually improve efficiency.

Prior to life in operations, Liefer worked in technology - first in banking, then as vice president of software applications at Fritz Companies, Inc. and United Parcel Service.

Jim has traveled the world with his partner of 24 years, loves music, and divides his free time between San Francisco and the countryside above Napa.

Ajay Agrawal

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Ajay Agrawal

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Ajay is a co-founder of Kindred where he works on the economics of machine intelligence: market design, ecosystem development, and as the company transitions from narrow to general intelligence, agency, property rights, and trade.

He enjoys political satire, acoustic instruments, and improv theater.

Ajay is a professor of applied economics and founder of the Creative Destruction Lab at the University of Toronto.

Ben Berliner

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Ben Berliner

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Ben leads Kindred’s Team Human. Before caring for the humans who build Kindred’s robots, Ben built Change.org, a grassroots activism platform.

When Ben isn’t caring for people, he is riding his motorcycles to some far off destination. Getting out into the depths of the Pacific Northwest is his favorite thing to do. And yes, it is true; he is a clown in the Macy’s Thanksgiving Day Parade.

Ben has been formally trained at the University of Hard Knocks where he received a Ph.D. in living -- something he does to the ‘nth degree every day.

David Hallock

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David Hallock

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A designer and builder of Kindred’s robotic endeavors, David enables Kindred robots to take physical form. From previous roles in aerospace, medical, and the startup world, David thrives on building solutions to problems, no matter what the application.

He is on pedal powered wheels rain or shine, or out in the wilderness, somewhere the robots can’t find him.

David studied mechanical engineering at Rensselaer Polytechnic Institute in Troy, New York.

Dmytro Korenkevych

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Dmytro Korenkevych

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Dmytro is an artificial intelligence engineer at Kindred, responsible for making sure robots think before they take actions. Before Kindred, he was a machine learning researcher at D-Wave.

In his free time, Dmytro plays volleyball, watches movies and occasionally writes bots for video games.

Dmytro has a Ph.D. in industrial and systems engineering from the University of Florida and a master’s degree in applied physics and mathematics from the Moscow Institute of Physics and Technology.

Dmytro has earned several academic research awards during his graduate school years in Moscow and Florida, but the ones he values most are the 3rd Diploma in Ukraine National Mathematics Olympiads in 2001, 2002 and 2003.

Doug Fulop

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Doug Fulop

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Doug is Product Owner for robotics and leads Kindred’s product design efforts. Before Kindred, Doug worked at IDEO in Business Design and Prototyping, where he helped create new ventures, products, and services for Fortune 500 companies.

When he is not teaching robots how to think, Doug enjoys rock climbing, backpacking, playing the electric violin, figure drawing, kiteboarding, and hosting dinner parties on topics such as the history of science and technology.

Doug received management and finance degrees from the New York University Stern School of Business. His awards include wins in various photography competitions, the TechCrunch Disrupt Hackathon, and the HackNY Hackathon, where he taught himself to code in Ruby on Rails the night before.

Gemma Ross

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Gemma Ross

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As Project Manager, Gemma is described as the glue of Kindred and the person who keeps the train on the rails and on time. Before Kindred, she worked six years at DreamWorks Animation supervising the technical resource team and acting as a bridge between production and technology to help deliver 13 animated films, including “How to Train Your Dragon” and “The Croods.”

As a break from work, Gemma loves to hike the beautiful Bay Area, mentor at Stanford Society of Women Engineers, and refine recipes worthy of a Michelin-starred restaurant (presentation is everything).

Gemma attended Dartmouth College where she played rugby, worked on set construction at the theater and graduated with a degree in computer science modified with animation. Gemma is exceptionally proud that she has one award win on her IMDB page for a Certificate of Merit, which she considers way cooler than an Oscar.

Inmar Givoni

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Inmar Givoni

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Inmar heads the machine learning group at Kindred. Before Kindred, she was the VP of Big Data at Kobo, a member of the technical staff at Altera, now a part of Intel, and interned with Microsoft Research working on e-commerce and Kinect.

In her spare time, Inmar is involved in outreach activity with a focus on encouraging women to choose and excel in STEM careers. She also enjoys riding her motorcycle, playing ultimate, savoring single malt whiskeys and dark chocolate, and pretending she is an octopus.

Inmar obtained her Ph.D. in machine learning from the University of Toronto. Her academic work focused on message-passing algorithms for clustering and graphical models for computer vision. She received multiple Canadian scholarships as well as awards from Google and the Anita Borg Institute. Earlier, she received a bachelor’s degree in computer science and computational biology from the Hebrew University in Jerusalem, Israel. She is the author of numerous scientific publications and holds several patents.

Jan Rudy

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Jan Rudy

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Jan is a machine learning engineer at Kindred. Before Kindred, he was in school learning how to teach computers to learn. Jan began his career as a re-recording mixer for film and television.

When he's away from his desk, he makes bread, beer, and music.

Jan received a Hon.BSc in computer science from the University of Toronto and a MASc from the University of Guelph where his research focused on deep learning. Both the Ontario Graduate Fellowship and the Canadian Graduate Scholarship supported his master’s. He's also been nominated for three Genie Awards, Canada’s Oscars.

Jonathan Yep

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Jonathan Yep

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Jonathan builds software for robots. He helps integrate various components so that they work together. Previously, he’s done co-op jobs in quality assurance, web development, databases, and parsers. Before that, he taught tennis to people ages 6 to 60.

Jonathan is an avid gamer and tennis player. When he’s not playing video and board games, he’s learning Japanese so that he can play more games.

Jonathan is a graduate of the University of Waterloo’s software engineering program with a minor in cognitive science.

Manny Guerrero

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Manny Guerrero

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Manny is Kindred’s numbers guy. He’s responsible for all finance-related matters and supports Kindred’s operations. Before joining Kindred, he served in a similar role at Indiegogo for almost three years. Manny got his start in the tech industry while working at Etsy where he worked for nearly four years helping them build their finance function. He began his post-academic career at PwC where he performed financial due diligence and assurance services within the alternative asset management industry.

Manny enjoys spending time with friends and family, mentoring, networking, snowboarding, hiking, traveling, and exploring other cultures.

He received his bachelor’s degree in accounting and finance from Fordham University in New York and is a CPA.

Max Bennett

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Max Bennett

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Max is Product Owner of Kindred’s teleoperation technology and works on projects ranging from rapid prototyping and UI and UX explorations to product design. Before joining Kindred, Max did research at Tufts’ Human-Robot Interaction lab, studying how humans’ perceptions of and relationships with robots vary based on the robots’ appearance, autonomy, and language.

Outside of work, Max bikes, hikes, runs, plays keyboard and sings, pursues various art projects in film photography and drawing, and loves spontaneity.

Max graduated summa cum laude from Tufts University where he received his bachelor’s degree with a double major in cognitive and brain science and computer science. At Tufts, Max received the De Florez Prize in Human Engineering, and also gave a TEDx talk on HRI and AI.

Miles Steininger

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Miles Steininger

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Miles protects Kindred’s innovations. He has been an intellectual property manager and patent agent for startups and large public companies. His qualifications include Canadian and U.S. Patent Agent and Commissioner for Taking Oaths. Miles has been drafting and prosecuting patent applications since he left the University of British Columbia with a bachelor’s degree in physics and computer science.

Miles collects, restores, and uses old technology such as cameras, typewriters, and watches. He also bikes -- slowly.

Neil Isaac

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Neil Isaac

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Neil is a system software developer, developing tools and infrastructure as a member of Kindred’s machine learning team. He was previously Sr. Manager of Engineering in Big Data at Kobo.

In his spare time, Neil tinkers with hardware, software, coffee, bicycles, and whatever looks shiny this week.

Nick Bergeron

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Nick Bergeron

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Nick is a member of Kindred's Robotics Hardware Engineering team. He works primarily on mechanical design, power systems, and electromechanical integration. Before Kindred, he gained experience in automation and process engineering as a mechanical design engineer at an industrial automation firm in Canada.

When not working, Nick enjoys exploring California in every way he can: mountain biking, off-roading, rock climbing, and coastal drives on HWY 1.

Nick received a bachelor's degree in mechanical engineering from the University of Guelph with specializations in manufacturing and mechatronics systems. He was a varsity wrestler, a member of the Guelph Robotics & Formula SAE teams, and was featured for Design Excellence in his Capstone Engineering Project. Nick is an inventor on pending patent applications for novel mechanical systems.

Olivia Norton

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Olivia Norton

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Olivia works on Kindred’s engineering/AI team in Vancouver. Before joining Kindred, she worked as a software consultant in the energy industry and previously, as a research assistant at ETH, Swiss Federal Institute of Technology.

When not in the office, Olivia might be found training for half-marathons, taking photographs or curled up with a book. She is a certified yoga teacher and a sommelier in training with loves for cooking and longboarding.

She holds two engineering degrees: a bachelor’s with distinction in computer engineering with a specialization in biomedical engineering from the University of Calgary, and a master’s of engineering in computer and electrical engineering from the University of British Columbia.

Peter Dwersteg

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Peter Dwersteg

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Peter works as a full-stack embedded electronics engineer on Kindred’s Robotics team, focusing on circuit boards, firmware, power, and integration. Before Kindred, he worked as a technical evangelist at Microsoft and, before that, was a ski bum.

Peter can often be found risking his safety while practicing Brazilian Jiu-Jitsu, snowboarding, skiing, and riding his fixed-gear bicycle through San Francisco.

Peter holds a bachelor’s degree in computer science from the University of Washington (UW). He worked as an undergraduate teaching assistant (TA) at UW, winning the 2011/2012 Bob Bandes Award for TA excellence.

Peter Lipay

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Peter Lipay

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Peter drives development of Kindred's teleoperation systems, using the latest virtual reality and motion controls to build new human-to-robot interfaces. Before joining Kindred, Peter worked on video livestreaming at Visual Labs Inc. and was an app developer at Microsoft.

In his spare time, Peter writes, produces and directs short films (lipayfilms.com).

Peter has a master’s degree in computer science from Stanford, with an AI and machine learning specialization, and a bachelor’s degree in computer science from the University of Washington.

Raj Jain

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Raj Jain

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Raj works on product and business development at Kindred. Previously, he was the chief of staff at Khosla Ventures, a venture firm based in Menlo Park, CA with over $4 billion under management, working with early-stage companies in information technology and sustainability. At Khosla, Raj sourced potential investments, led diligence, and co-led investments in startups across multiple areas. He also provided oversight and guidance, helped to negotiate partner deals, built relationships across government and industry, served as a board member and observer and helped guide Khosla Labs, a Bangalore-based startup incubator.

Outside of work, Raj mentors for various startup accelerators, incubators, and organizations, including Highway1, Alchemist Accelerator, and Launchpad Digital Health. He also frequently serves as an advisor for consumer and enterprise startups. When not working, he spends time volunteering, training for marathons, and learning new things.

Raj attended Stanford University on a National Defense Science and Engineering Graduate Fellowship and received a Ph.D. in electrical engineering for work on light emission and detection from silicon-compatible optoelectronics devices. Before Stanford, he was a B.N. Duke Scholar at Duke University, where he received degrees in computer science, electrical and computer engineering, and economics. He is an author of several scientific publications and inventor on several patents and applications.

Rupam Mahmood

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Rupam Mahmood

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Rupam joined Kindred to make strides toward his dream of general-purpose artificial minds. His research interests are in reinforcement learning and life-long machine learning problems. In his research works before Kindred, he primarily focused on developing computationally scalable algorithms for real-time prediction of long-term sensorimotor events.
He enjoys hiking, and thinking, speaking, and writing passionately about the future of AI and humanity.
Rupam will receive his Ph.D. in statistical machine learning from the University of Alberta in 2017 under the supervision of Richard Sutton. He also received a master's degree in computing science from the University of Alberta.

Scott Rostrup

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Scott Rostrup

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Scott drives the development of tools and infrastructure for machine learning at Kindred. Previously, Scott held production and research roles at Synopsys building distributed computing libraries and developing optimized graph algorithms for circuit simulation.

Scott constantly plays with language, human and otherwise, and though it may seem excessive, he often spends his free time learning about programming languages with like-minded spirits. When he does get AFK (away from the keyboard), he loves the outdoors, games designed by Richard Garfield, and pickup hockey.

Scott studied at the University of Waterloo, where he received a bachelor’s in mathematical physics, a master’s in numerical computation, learned to speak passable German, and left with a love of software design.

Tom Hummel

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Tom Hummel

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Tom leads Kindred’s robotics team and its development efforts. He is an engineer with eight years of R&D experience in a variety of fields from automotive and optics to food processing and software engineering. He is a veteran entrepreneur himself, having been a co-founder and CEO of Redtree Robotics.

Tom is an unconstrained polymath and life-long learner who constantly applies the newest methods and tools to solve tomorrow's problems. He is an avid cyclist and amateur historian and enjoys time with his wife and dog.

Tom holds bachelor's, master’s, and doctoral degrees from the University of Guelph in systems and computing engineering, and mechatronics, robotics, and automation.

Yifei Cheng

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Yifei Cheng

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Yifei is a mechatronics engineer who is responsible for experimental hardware setups and software engineering to assist in Kindred’s machine learning efforts. He has previous work experience in advanced energy systems and hardware-in-a-loop testing systems for the automotive sector, industrial robotics and control systems, autonomous mobile robotics, and enterprise information management.

Outside of work Yifei enjoys running, swimming, camping, and experiencing the great outdoors.

Yifei has a bachelor's degree from the University of Waterloo's Mechatronics Engineering program. While studying there, he received an Undergrad Student Research Award from the Natural Sciences and Engineering Research Council of Canada.

Chad Cogar

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Chad Cogar

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Chad is part of Kindred's product team. In his past as a programmer, he created tools to help people in oppressed nations access the open Internet.

In his leisure time, Chad enjoys visiting his hometown in rural Manitoba, driving outside the city, and playing badminton. He also enjoys testing computer security and is an avid fan of the DEFCON hacking conference.

Chad recently completed the combined law and business program at the University of Toronto and studied computer science at the University of Toronto

Adrian Martin

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Adrian Martin

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Adrian leads Kindred’s platform engineering efforts and developed the core distributed operating system for Kindred’s avatar robotics platform. He is an avid tinkerer and loves tackling challenging problems, leading him to work on everything from robotic hardware-in-the-loop simulations to top-ranked mobile games.

In his leisure time, Adrian earned a 2nd-degree black belt in Taekwondo and enjoys snowboarding, skiing, and archery.

Adrian completed his Ph.D. at the University of Toronto Institute for Aerospace Studies where he developed the HAA (Host, Avatar, Agent) Architecture, a hardware and software framework for robustly controlling distributed heterogeneous robot teams. He was awarded funding for his research through the Ontario Graduate Scholarship program and from the University of Toronto. He also won the Centennial Thesis Award for his undergraduate thesis on behavioral control of legged robots, and Grand Prize at the Vortex 2007 Video Game Design Competition.

Lindsay Langsdale

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Lindsay Langsdale

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Lindsay manages Kindred’s San Francisco office space and makes sure everyone is happy. Before Kindred, Lindsay worked as an office and curriculum coordinator for Highway1, a hardware accelerator, and division of PCH International of Cork, Ireland.

Outside of the office, Lindsay spends her time playing in the mud at a ceramics studio.

Lindsay graduated from the Art Institute of Pittsburgh with a degree in illustration and graphic design.

 

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Richard S. Sutton

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Richard S. Sutton

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Richard S. Sutton is a professor and iCORE chair in the department of computing science at the University of Alberta. He is a fellow of the Association for the Advancement of Artificial Intelligence and co-author of the textbook Reinforcement Learning: An Introduction from MIT Press. Before joining the University of Alberta in 2003, he worked in industry at AT&T and GTE Labs, and in academia at the University of Massachusetts. He received a PhD in computer science from the University of Massachusetts in 1984 and a BA in psychology from Stanford University in 1978. He is a fellow of the Association for the Advancement of Artificial Intelligence, and in 2016 he was elected a fellow of the Royal Society of Canada. At the University of Alberta, Rich directs the Reinforcement Learning and Artificial Intelligence Laboratory and is a principal investigator of the Alberta Machine Intelligence Institute. His research interests center on the learning problems facing a decision-maker interacting with its environment, which he sees as central to artificial intelligence. He is also interested in animal learning psychology, in connectionist networks, and generally in systems that continually improve their representations and models of the world.

Ramez Naam

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Ramez Naam

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Ramez Naam is a computer scientist, author, and cleantech angel investor. Ramez is the co-chair of the Energy and Environment program at Singularity University at NASA Ames. He’s also the award-winning author of five books, including the Nexus series of science fiction novels and the non-fiction The Infinite Resource: The Power of Ideas on a Finite Planet, which charts a course to innovate our way past challenges in energy, food, water, and climate. Ramez’s books have won the H.G. Wells Award, the Prometheus Award, the Endeavour Award, the Philip K. Dick Award, and been listed as an NPR Best Book of the Year.

Ramez spent 15 years in software, including 13 years at Microsoft, where he led teams working on machine learning, information retrieval, and internet scale systems.

Ramez speaks around the world on innovation, exponential technology, and solutions in climate and energy. He invests in innovative energy startups and leads the first AngelList syndicate focused on clean energy technology.

Ramez’s work has appeared in or been quoted in The New York Times, The Wall Street Journal, The Economist, The Atlantic, Slate, Business Week, Discover, Wired, and Scientific American..

Graham Taylor

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Graham Taylor

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Graham is a co-founder and internationally recognized expert in deep learning. He builds relationships between Kindred and academia.

Graham enjoys music, film, and long walks, especially in autumn.

He is a professor of computer engineering at the University of Guelph and an Azrieli Global Scholar at the Canadian Institute for Advanced Research. Graham has trained more than 45 students and staff members since his appointment.

Marc L. Busch

Marc L. Busch

MARC L. BUSCH (Ph.D., Columbia University) is the Karl F. Landegger Professor of International Business Diplomacy at the Edmund A. Walsh School of Foreign Service, Professor of Government and Professor of Business Administration at Georgetown University. He is an expert on international trade policy and law. He serves as a member of the Industry Trade Advisory Committee on Standards and Technical Trade Barriers (ITAC-16), a public-private group reporting to the U.S.

He serves as a member of the Industry Trade Advisory Committee on Standards and Technical Trade Barriers (ITAC-16), a public-private group reporting to the U.S. Department of Commerce and the United States Trade Representative. He has addressed a wide variety of governments and international institutions, including

He has addressed a wide variety of governments and international institutions, including the Advisory Centre on WTO Law, the Swedish International Development Cooperation Agency, the World Bank and the United Nations. He has testified before the US Congress on Airbus-Boeing litigation, and before the Canadian Senate on softwood lumber litigation.

He has consulted to Booz Allen Hamilton, Bell Canada, Frontier Strategy Group, Goruck, Health Canada, Janssen Pharmaceuticals, McKinsey, Monitor, Nomacorc, Philip Morris International, the Swedish International Development Cooperation Agency, the United Nations, the World Bank, and the Trade Law Division of the Department of International Trade Canada, on behalf of which he addressed a NAFTA 2022 panel on dispute settlement.

He is the author of the book Trade Warriors, as well as articles in the American Journal of Political Science, American Journal of Sociology, British Journal of Political Science, Fordham International Law Journal, International Organization, Journal of Conflict Resolution, Journal of World Trade, World Politics and World Trade Review. He has been awarded research grants from the National Science Foundation, the Social Sciences and Humanities Research Council of Canada, the John M. Olin Foundation, the John D. and Catherine T. MacArthur Foundation, the Institute for the Study of World Politics, Georgetown, Queen’s, Harvard, and Columbia. He served as co-editor of the journal Economics & Politics, and currently serves on the editorial board of International Studies Quarterly.

He has previously taught at Queen’s University and Harvard. He has received awards for teaching at all three institutions, including MBA Professor of the Module at Georgetown, the Executive MBA, AMBA, Cornell-Queen’s, and MBA Society Teaching Excellence awards at Queen’s School of Business, and Harvard’s Thomas Hoopes Teaching Prize. In 1997, he was nominated for the Joseph Levenson Teaching Award at Harvard for best junior faculty undergraduate professor. In 2004, he received the Frank Knox Teaching Excellence Award for the best undergraduate professor at Queen’s University. In 2010, Forbes Magazine named his course, “Business, Government and the Global Economy,” one of the Top 10 Most Innovative MBA courses in the United States.

Peter H. Diamandis

Peter H. Diamandis

In 2014 Fortune Magazine named Peter Diamandis as one of the World’s 50 Greatest Leaders. Diamandis is the Founder & Executive Chairman of the XPRIZE Foundation which leads the world in designing and operating large-scale incentive competitions. He is also the Co-Founder & Exec Chairman of Singularity University, a graduate-level Silicon Valley institution that counsels the world’s leaders on exponentially growing technologies.

As an entrepreneur, Diamandis has started 17 companies. He is the Co-Founder and Vice-Chairman of Human Longevity Inc. (HLI), a genomics and cell therapy-based company focused on extending the healthy human lifespan, and Co-Founder and Co- Chairman of Planetary Resources, a company designing spacecraft to enable the detection and prospecting of asteroid for fuels and precious materials.

Diamandis is a New York Times Bestselling author of two books: Abundance & BOLD. He earned degrees in Molecular Genetics and Aerospace Engineering from MIT, and holds an M.D. from Harvard Medical School. In 2016 the Greek Government honored him by issuing a 1.2 Euro stamp into circulation. Also in 2016, the book How To Make A Spaceship, Peter’s biography and the story of the XPRIZE was written by Julian Guthrie with a Foreword by Richard Branson and an Afterword by Prof. Stephen Hawking.

Yoshua Bengio

Yoshua Bengio

Yoshua Bengio is Full Professor of the Department of Computer Science and Operations Research, head of the Montreal Institute for Learning Algorithms (MILA), CIFAR Program co-director of the CIFAR Neural Computation and Adaptive Perception program, Canada Research Chair in Statistical Learning Algorithms. His main research ambition is to understand principles of learning that yield intelligence. He teaches a graduate course in Machine Learning (IFT6266) and supervises a large group of graduate students and post-docs. His research is widely cited (over 40000 citations found by Google Scholar in mid-2016, with an H-index of 84).

Yoshua Bengio is currently action editor for the Journal of Machine Learning Research, associate editor for the Neural Computation journal, editor for Foundations and Trends in Machine Learning, and has been associate editor for the Machine Learning Journal and the IEEE Transactions on Neural Networks.

Yoshua Bengio was Program Chair for NIPS'2008 and General Chair for NIPS'2009 (NIPS is the flagship conference in the areas of learning algorithms and neural computation). Since 1999, he has been co-organizing the Learning Workshop with Yann Le Cun, with whom he has also created the International Conference on Representation Learning (ICLR). He has also organized or co-organized numerous other events, principally the deep learning workshops and symposiua at NIPS and ICML since 2007.