Hi there, I'm a postdoc at Boston University and MIT, and founder of SimPPL researching platform governance and building open-access trust and safety tools. I got my Ph.D. at NYU Data Science and CSMAP where I researched methods to limit misleading information online. I use tools from machine learning and causal inference to estimate the effects of interventions to limit online harms on social networks. 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!
- 📫 How to reach me: LinkedIn (add a note!) or Email (firstname [at] mit [dot] edu)