I am a Director of Data Science at Capital One. I received my Ph.D. from Boston University doing research with Pankaj Mehta. My thesis was focused on applying machine learning methods such as reinforcement learning (Q-learning, MCTS)
and unsupervised learning (clustering, auto-encoders, embeddings) to problems of quantum statistical physics and applied computational biology for cancer immunotherapy.
If you're interested in learning more about applications of machine learning to physical sciences or just curious to learn more about machine learning, check out our
introductory review to ML supplemented with many useful Python Jupyter notebooks.
I'm always open to an impromptu chat about ML, physics, and science in general, so don't hesitate to shoot me an email if you have questions.