About Me
I’m currently a Principle Machine Learning Engineer at Seekr. I have a passion for technical issues related to AI Research, Engineering, and Safety.
I believe in writing as an aid to thinking, and writing as you speak. I believe in slowing down, and that a thing worth doing, is worth doing badly.
I believe in the pervasiveness of research debt, and in the invaluable role of research distillers.
An old draft of an interactive Machine Learning with Python+Numpy textbook I was working on is available on my posts page, as well as more recent thoughts!
Technical Interests
LLMs, synthetic data generation, Agent design and orchestration, AI Safety and Alignment, Mechanistic Interpretability, Scalable Oversight, Deep Learning, Information Theory, Theoretical Machine Learning, High Dimensional Bayesian Inference, Optimization
Experience
Principal Machine Learning Engineer || Seekr
August 2023 – Present
Assistant Professor of the Practice of Computer Science || Vanderbilt University
January 2020 – August 2023
Postdoctoral Fellow || Vanderbilt University
Computer Science and Biomedical Informatics
January 2018 – December 2019
Doctoral Researcher || University of California, San Diego
August 2011 – June 2017
Education
University of California, San Diego || San Diego, CA
PhD in Bioengineering || Aug. 2011 - June 2017
Emphasis on high-dimensional Bayesian inference, optimal sequential communication and information theory
University of Florida || Gainesville, FL
BS || Aug. 2006 - Dec. 2010