My name is Denny. I started my career in databases and distributed systems at UC Berkeley, where I was part of the AMPLab and an early research engineer at Apache Spark. I went to graduate school at Stanford where I applied database techniques to fast inference in probabilistic graphical models, before moving 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 hedge fund. I am now working on applying ML and Reinforcement Learning techniques to markets, most recently in Decentralized Finance (DeFi).
You can find me on Twitter or Github.