Here are some relevant publications. For a complete list, see Google Scholar.

• Finding the root in random nearest neighbor trees, with Cassandra Marcussen, Elchanan Mossel and Madhu Sudan. Preprint. 2024.
• Leaf Stripping on Uniform Attachment Trees, with Louigi Addario-Berry, Simon Briend, Nicolas Broutin and Gábor Lugosi. Preprint. 2024.
• Errors are Robustly Tamed in Cumulative Knowledge Processes, with Cassandra Marcussen, Elchanan Mossel and Madhu Sudan. COLT 2024.
• Universal height and width bounds for random trees, with Louigi Addario-Berry, Jad Hamdan and Céline Kerriou. Electronic Journal of Probability 27: 1-24 (2022).
• The Horton-Strahler number of conditioned Galton-Watson trees, with Luc Devroye and Tommy Reddad. Electronic Journal of Probability 26: 1-29 (2021).
• Root estimation in Galton-Watson trees, with Luc Devroye and Marcel Goh. Random Structures & Algorithms 61: 520-542 (2022).
• A low-cost, semi-autonomous wheelchair controlled by motor imagery and jaw muscle activation, with Marley Xiong, Raffi Hotter, Danielle Nadin, and others. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2180-2185 (2019).

click here for some introductory math/CS notes

click here to spice up your resume with a fresh LaTeX template

click here to generate some random trees (make sure click on big tree! drag the branches around!)

click here to see pretty animations of orbits of matrix Lie groups (click on the question mark if you're confused about what you're seeing!)

click here if you've ever wondered what electrodynamics on a flat torus could be like (click to add charges! watch them spin!)

click here if want to hear about the brain-controlled wheelchair we built as a group of undergrads

technical — html, css, vanilla js. hosted on github pages. expanding text uses the telescoping text library. icons by line awesome. © dec 2024.

typography — neue montreal by pangram foundry.

friends — some homies with websites (with high probability, some are missing; if so, with probability one, this is unintentional).

past academic homes — prior to MIT, i evaded some geese (did a masters) at the perimeter institute, working with aukosh jagannath. before that, i ate some bagels (did my BSc) at mcgill, doing research with luc devroye, louigi addario-berry, prakash panangaden and others.

the academic links — google scholar . arxiv . linkedin
the non-academic links — curius . github . letterboxd . borrow a book