Ryan Theisen


About Me

I am a Machine Learning Scientist at Harmonic Discovery. I completed my PhD at UC Berkeley under Michael Mahoney, where I worked on fundamental research in machine learning. Before Berkeley, I was a student at Arizona State University, where I studied mathematics and economics, and completed a master’s thesis under Sebastien Motsch in the mathematics department. I was also the machine learning lead in the Luminosity Lab. Outside of university, I spent two summers as a research intern at Salesforce Research, and have also worked for Amazon.com in the past. See my CV for more.


During my PhD, I was primarily interested in theoretical aspects of deep learning, mainly focused on the question of generalization. Namely, I’m interested in when and how we can fit extremely complicated and expressive models to data, and expect these models to perform well on new, unseen data.

More recently, I have become interested in applications of machine learning to the field of drug discovery.

Below is a list of papers I’ve co-authored.


I love to travel and spend as much time outdoors as possible. I always take my camera with me wherever I go - feel free to check out some of my photos.


Email: ryanctheisen [at] gmail.com