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Hi there Hi there, I'm a Ph.D. student at NYU Data Science and founder of SimPPL interested in network simulations, agent-based models, and machine learning. I use probabilistic programming and causal inference to understand interventions to limit disinformation on social networks like Reddit, Twitter, and Facebook. In the past I worked on productionizing machine learning for particle physics, prototyping and productionizing a graph-based trending hashtag recommendation for videos, and graph-based deep learning in physics! I've also worked on ML in cybersecurity, chatbots, and open-source client APIs for IoT ML pipelines. I'm an engineer at heart and a researcher by profession so I enjoy building scalable systems to tackle hard problems!
I've conceptualized and built a Google AI-backed ML course for undergrads. I (amateur-ishly) hosted an advanced statistics reading group following Cosma Shalizi's wonderful textbook on the weekends and continue to mentor students doing impactful research. I was involved as a technical mentor for the Grand Challenge at CERN and the Stanford Scholar Initiative but most notably I co-founded and continue to lead a fast-growing FOSS-development + mentorship program for undergrads called Unicode which continues to help its undergrad mentees land offers from FAANG companies and Ivy League universities!
I managed to land a couple of nice internships (although it's super-sad that I couldn't do them all) and wrote a guide for students at the undergraduate and graduate level. I'm also working on a book about engineering education in India at the undergraduate level, hopefully coming out in 2022!
๐ซ How to reach me: LinkedIn (add a note!) or Email (firstname [dot] lastname [at] nyu [dot] edu)