Welcome! Come in :)
A plandid picture taken by my good friend Maan Qraitem
Who am I?
I'm Satchit Sivakumar, a 4th year CS Ph.D. student at Boston University, advised by Mark Bun. For this summer, I'm also a machine learning research intern at Apple. My research primarily focuses on the mathematical foundations of data privacy, and its deep connections to other fields such as statistical machine learning and adaptive data analysis. Click here to see my research publications on these topics!
I enjoy tennis, bird watching, and karaoke in my free time. I also hope to become a titled chess player one day, though that dream is far away.
If you'd like to chat with me about anything, please reach out! My email is satchit@bu.edu
What's new?
June 2023: Conference season, baby! Gave talks at FORC 2023 on the continual observation model (with my friend Palak) and on replicability. Also spoke at STOC 2023 on replicability. Had tons of fun and learned a lot at both conferences! Thanks to the organizers and the brilliant people I met.
June 2023: New paper on counting distinct elements in the continual observation model.
May 2023: I will be a Machine Learning research intern at Apple, Cupertino this summer! Reach out if you're in or around the Bay Area and would like to chat.
April 2023: Our paper on the continual release model of differential privacy was accepted for an oral presentation at ICML 2023!
February 2023: Proud to have been chosen as a recipient of the 2023 Apple Scholars in AI/ML PhD Fellowship.
February 2023: Woooo! Our paper on connections between differential privacy, replicability, and other notions of stability will appear in STOC 2023! Here I come, Orlando!
September 2022: I'm a Teaching Fellow for CS332:' Theory of Computation ' this semester, and am fondly remembering my love for DFAs and NFAs as an undergrad.
August 2022: I was selected to attend a summer school on 'New tools for Optimal Mixing of Markov Chains: Spectral Independence and Entropy Decay', at the beautiful UC Santa Barbara campus. The campus has one of my favorite smoothie places, with an unfortunately mediocre name, 'Blenders in the Grass'.
July 2022: I was invited to attend a workshop on 'Differential Privacy and Statistical Data Analysis' at the Fields Institute and gave a talk on 'Differentially Private Sampling from Distributions'! My main thought about Canada: I do not understand the hype surrounding Poutine.
July 2022: I attended and gave an invited talk on 'The Price of Differential Privacy under Continual Observation' with my good friend Palak Jain at TPDP 2022 in Baltimore! Baltimore has the best vegan soul food.