Frank Wood is the CEO and co-founder of Inverted AI. 

He is also an associate professor of computer science at the University of British Columbia and a Canada CIFAR AI Chair at Mila. Frank previously was an associate professor in the Department of Engineering Science at the University of Oxford and assistant professor of Statistics at Columbia University. He formerly was a postdoctoral fellow of the Gatsby Computational Neuroscience Unit of the University College London under Dr. Yee Whye Teh. He received his PhD from Brown University in computer science under the supervision of Dr. Michael Black and Dr. Tom Griffiths. Dr. Wood is also an alumni of the Illinois Mathematics and Science Academy, and received a B.S. in computer science from Cornell University. Prior to his academic career he was a successful entrepreneur having run and sold the content-based image retrieval company ToFish! to Time Warner and serving as CEO of Interfolio. He started his career working at both the Cornell Theory Center and subsequently the Lawrence Berkeley National Laboratory. Dr. Wood holds 7 patents, has authored over 80 papers, received the AISTATS best paper award in 2009, a best paper honorable mention at ICML 2019, and has been awarded faculty research awards from Xerox, Google and Amazon.

His research contributions include deep generative modelling, amortized inference, probabilistic programming systems, new models and inference algorithms, and novel applications of such models to problems in autonomous driving, computational neuroscience, vision, natural language processing, robotics, and reinforcement learning. Wood’s primary research areas include deep generative modelling, amortized inference, probabilistic programming, reinforcement learning, and applied probabilistic machine learning. 

He currently lives in Vancouver with his son Arlo and plays volleyball, skis (downhill), and bicycles (mountain and road). He has been known both to sing and to play the ukulele and trumpet. Frank also travels extensively, invents things, enjoys writing, and may one day again have a garden.

Adam Ścibior is the CTO and Co-Founder of Inverted AI. He is also an adjunct professor of computer science at the University of British Columbia. 

Adam previously was a postdoc at the University of British Columbia working with Frank Wood, and received his PhD in machine learning at University of Cambridge under Zoubin Ghahramani and the Max Planck Institute for Intelligent Systems under Bernhard Schölkopf as a part of the Cambridge-Tübingen PhD programme.

His research contributions center around probabilistic programming, in particular on exploiting composition of Bayesian inference algorithms using functional programming.

He currently lives in Vancouver and plays volleyball, hikes, trains Brazilian Jiu-Jitsu, and enjoys chess and stand-up comedy.

Berend Zwartsenberg is the Chief Scientist of Inverted AI. 

Berend previously was a research scientist at Inverted AI, before which he was a postdoc at the University of British Columbia working with Frank Wood and Trevor Campbell. He received his PhD in Physics at the University of British Columbia, after completing a Masters in Physics cum laude from the University of Amsterdam for which he was awarded the Pieter Zeeman Prize.

His research contributions include work on multi agent behavioral models, permutation invariance in generative modeling and score based generative models. 

He is based in Vancouver where in his free time he climbs, runs and enjoys riding motorcycles to remote places.

Dr. Jeff Schneider is a professor in Carnegie Mellon University’s School of Computer Science. His research is on machine learning and autonomous systems. He has over 20 years of experience developing, publishing, and applying machine learning algorithms in government, science, and industry. 

An accomplished entrepreneur, Dr. Schneider was a founding member of Uber's Advanced Technologies Group, where he played a pivotal role in the development of their self-driving car program. Prior to this, he spearheaded a machine learning-based CNS drug discovery system and served as Chief Informatics Officer at Psychogenics. He also co-founded Schenley Park Research, demonstrating his commitment to bringing machine learning advancements to the industry.

Colin Harris is one of the most successful technology entrepreneurs in British Columbia. He co-founded and became the COO of PMC-Sierra (now Microchip), a NASDAQ-listed semiconductor company and local tech success story.

Being a major player in and supporter of the BC entrepreneurial community as both an angel investor and mentor, Colin currently advises many of the vibrant startups in Vancouver.  Colin has also served on the boards or advisory boards of more established companies such as Redlen Technologies, Yaletown Venture Partners, the Global Semiconductor Alliance and the Design for E-Beam Initiative, among others. 

Eric Bukovinsky is a Partner at Yaletown Partners, bringing nearly two decades of experience in investing, finance, and consulting to the technology sector. Based in Vancouver, Eric focuses his efforts on creating strategic value and optimizing for scale with companies enabling the digital transformation of traditional industries. He also leads the Yaletown Insights research activities on digital transformation, machine learning and artificial intelligence, and the development of global technology ecosystems. He has been a member of the AI Commercialization Working Group, supporting the Advisory Council on Artificial Intelligence to the Canadian government.

Eric leads Yaletown’s investments in GoBolt Technologies, InvertedAI, Photonic, CTO.ai, and Group14 Technologies, and specializes in infrastructure software, Data and AI, and solutions enabling digital transformation. Eric previously led the firm’s investments in Tasktop (acquired by Planview), FinnAI (acquired by Glia), Mover.io (acquired by Microsoft), Foodee (acquired by Sodexo), Sokanu (acquired by Penn Foster) and Wantering (acquired by Clique Media).