Intrepid Growth Partners is excited to release the official sizzle reel for our new podcast, The Derby Mill Series: Intrepid Pioneers of the Next Economy.
In each episode, Intrepid Senior Advisors Rich Sutton (pioneer of reinforcement learning), Sendhil Mullainathan (MacArthur Genius recipient) and Niamh Gavin (Applied AI scientist) join Intrepid co-founder and partner Ajay Agrawal. The four hosts connect with entrepreneurs at the forefront of deploying machine intelligence for brainstorming sessions about where the technology will go—at the limit.
Be sure to catch every episode by subscribing on the following platforms:
Substack // YouTube // Spotify // Apple Podcasts
Featuring our hosts:
Ajay Agrawal (Intrepid Co-Founder and Partner)
Professor of Strategic Management at the University of Toronto’s Rotman School of Management, Ajay also is a founder of the Creative Destruction Lab (CDL), whose mission is to enhance the commercialization of science for the betterment of humankind. CDL operates at 13 universities globally and companies that have graduated from the program have generated over $30 billion in equity value. Ajay is a co-author of two best-selling books on the economics of AI – Prediction Machines: The Simple Economics of Artificial Intelligence and Power and Prediction: The Disruptive Economics of Artificial Intelligence. He holds a PhD in Strategy & Business Economics from the University of British Columbia and honourary PhD from the University of Calgary.
Richard Sutton (Intrepid Senior Advisor)
A professor in the Department of Computing Science at the University of Alberta, Rich pioneered one of the most powerful techniques of the modern AI revolution: Reinforcement Learning. He is coauthor of the primary textbook on Reinforcement Learning used by top computer science departments around the world: Reinforcement Learning: An Introduction. His scientific publications have been cited more than 140,000 times. Sutton is also chief scientific advisor of the Alberta Machine Intelligence Institute (Amii), research scientist at Keen Technologies, and fellow of the Royal Society of London, the Royal Society of Canada, the Association for the Advancement of Artificial Intelligence, and CIFAR. At the University of Alberta, Richard founded the Reinforcement Learning and Artificial Intelligence Lab. Richard received a PhD in computer science from the University of Massachusetts and a BA in psychology from Stanford University.
Sendhil Mullainathan (Intrepid Senior Advisor)
A professor in the MIT Department of Economics and the MIT Electrical Engineering & Computer Science (EECS) Department, and a recipient of the MacArthur “Genius Grant,” Sendhil’s current research uses machine learning to understand complex problems in human behavior, social policy, and especially medicine. Sendhil recently co-authored Scarcity: Why Having Too Little Means So Much and writes regularly for the New York Times. Mullainathan helped co-found a non-profit to apply behavioral science (ideas42), co-founded a center to promote the use of randomized control trials in development (the Abdul Latif Jameel Poverty Action Lab), serves on the board of the MacArthur Foundation, has worked in government in various roles, is affiliated with the NBER and BREAD, and is a member of the American Academy of Arts and Sciences.
Niamh Gavin (Intrepid Senior Advisor)
An Applied AI Scientist who uses a systems engineering approach to safely transform groundbreaking research into commercial AI-first products that scale, Niamh’s operator-investor experience spans the tech stack, product life-cycle, business functions and company stages across the US, EU, MENA and Asia. Niamh’s expertise is building closed-loop AI platforms that leverage active learning to close the Sim2Real gap and accelerate scientific discovery. Based in Silicon Valley, Niamh is currently an early access partner enabling the real-time inference of multimodal foundation models from Meta, OpenAI, Google and others. Niamh graduated summa cum laude from Oxford in Natural Science, and SymSys Computational Science at Stanford and Tsinghua. She also earned her business stripes in Quant Finance, Private Equity, Strategy Consulting and a Stanford MBA.
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