Max R.
Max holds a PhD in Computer Science from UC Berkeley, prior to which he received his AB in Mathematics from Princeton University. He has done research across multiple areas of machine learning and statistics, notably natural language processing, fine tuning for neural networks, probabilistic modeling, and statistical theory.
Scott
Scott earned his MBA from Yale and BS in Applied Economics and Management from Cornell. He has worked as a management consultant and a semi-professional poker player. Currently, he works at Google.
Tom
Tom earned his BA in Computer Science & Mathematics from Harvard and then worked at an AI and robotics company in Silicon Valley. He is now a Computer Science PhD at MIT.