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Hi, my name is Denny. I started my career in database and distributed systems at UC Berkeley, where I was an early contributor to Apache Spark. In graduate school at Stanford I applied database techniques to fast inference in probabilistic graphical models, and moved into Deep Learning research in 2015. I published several papers as part of the Google AI team, where I focused on NLP, Machine Translation, and Reinforcement Learning. In 2018 I became interested in gambling trading and left academia to work for a few hedge funds. I am currently applying ML and Reinforcement Learning techniques to markets, most recently in Decentralized Finance (DeFi).

You can find me on Twitter (inactive) or Github.