About

I’m Rahul Dave — physicist, engineer, and practitioner of machine learning, AI, and data science. I also teach.
I did my Ph.D. in physics at the University of Pennsylvania, where my thesis on quintessence and the cosmic microwave background was among the early works introducing dark energy. After that I spent over a decade at Harvard — as a computational scientist at the Center for Astrophysics, then as a lecturer at SEAS and IACS, where I helped build courses like CS109 (Data Science), AM207 (Stochastic Methods and Bayesian Inference), and CS207 (Systems Development for Computational Science).
I’m co-founder and Chief Scientist at Univ.AI, where we build AI solutions and teach machine learning. Through Univ.AI, I also consult on ML and data engineering problems — we’ve worked with clients across oil and energy, insurance, finance, and sports.
I’m a Bayesian at heart. I like interesting problems at the intersection of statistics, machine learning, and computation — and I like explaining them clearly.
Interests
- AI — how it works, why it works, and where it breaks
- Bayesian inference and probabilistic modeling
- Machine learning and deep learning
- Data visualization and communication
- Cosmology and astrophysics
- Development economics
Education
- Ph.D. Physics, University of Pennsylvania, 2002
- B.S. Physics (Honors), St. Xavier’s College, University of Bombay, 1992
Elsewhere
Get in Touch
If you’d like to work with me — consulting, AI/ML projects, or training — drop me a message below.
For questions about blog posts, course material, or anything else, find me on X / Twitter.