Probabilistic Programming

My work on probabilistic programming started in the first year of my doctoral degree wherein I worked on designing efficient surrogates for complicated physics simulators, inspired by Etalumis, Pyprob and other work on causal discovery. I created a braindump for reference at a future point that I’m happy to share, and touches on work by Frederick Eberhardt, Kun Zhang, Cosma Shalizi, and others.

I also published some work on modeling the spread of COVID using probabilistic programs, and worked on inferring the effects of potential interventions on the mitigation of the pandemic.

Probabilistic Programming

Here are a set of tutorials I delivered at my weekly reading group sessions with some students I mentor at a research group I founded in 2019 called Unicode Research. This is a research effort as part of the larger organization I co-founded in 2017, called DJ Unicode.

• Probabilistic Programming - I based on the Probabilistic AI School
• Probabilistic Programming - II: Social Network Simulation
• My YouTube ProbProg Playlist curating different talks/lectures/presentations/code walkthroughs