Gilvir Gill

Hi! I’m Gilvir, a fourth year Ph.D. student in the Computer Science department at Stony Brook University. I am dual advised by Michael Bender and Joseph Mitchell.

I’m primarily an algorithmist/theoritician, and my dissertation research is on practical linear sketching for large, dynamic graphs. In general, I’m concerned with modeling and addressing real-world performance issues, like cache locality or parallelism under different hardware regimes (e.g., GPUs, NUMA, distributed systems).

I also dabble in computational social science and machine learning. As an NSF-funded BIAS-NRT fellow, I study biases in post-conviction exonerations and use NLP to understand community-level social behaviors and beliefs across space and time. My broader interests include applying machine learning to online data structures, computational geometry, process mining, and operations research.

For recent publications and updates, see my curriculum vitae.