I am a graduate student at Columbia University interested in probabilistic machine learning. I am affiliated with the Electrical Engineering Department and the Data Science Institute and am part of a thriving machine learning community here at Columbia. I am advised by Prof. John Paisley.
Previously, I was at Goldman Sachs working with Dr. Howard Karloff on machine learning applications for surveillance models. I received my Bachelors degree from Indian Institute of Technology (IIT) Delhi.
If you’d like to chat, feel free to write me at a ‘dot’ makkar ‘at’ columbia ‘dot’ edu.
I view the theory and practice of building systems that learn to make decisions under uncertainty mainly from a Bayesian perspective. My interests include probabilistic modeling and approximate Bayesian inference.