Cornell High-Performance Computing (HPC) Group

Last modified on December 11, 2025.

I'm the proud PhD advisor of:

• Julian Bellavita (2023 —); DOE CSGF fellow (2024 — 2028)
• Irene Simó Muñoz (2025 —); Cornell Veena & Induprakas Keri Fellowship (2025 — 2026)
• Yifan Li (2025 —); Cornell Hartmanis-Hocroft Fellowship (2026 — 2027)
• Qingyao Sun (I've happily "adopted" Qingyao while his advisor, Professor Anil Damle, is on sabbatical, 2025 — 2026)

As a placeholder for a real group photo, here's a Ghibli-style photo of some of us—from left: Yifan, Irene, me, Julian, Ben who's now at Cornell Tech working with Alex Conway, and Cecilio who's a PhD student in ECE working with José Martínez, but also member ad honorem of the Cornell HPC group.

Current MEng students:

• Thomas McFarland
• Pablo Raigoza
• Alan de Mersseman — Co-advised with Professor Aditya Devarakonda (Wake Forest University)
• Saksham Diwan — Co-advised with Professor Erik Garrison (University of Tennessee Health Science Center in Memphis)

Current undergraduate students:

• Zander Schatzberg — Co-advised with Professor Shaila Musharoff (Cornell University)
• Aaron Li — Co-advised with Professor April Wei (Cornell University)
• Jefferson Zhou
• Arman Margarian
• Calvin Zhang
• Zenchang Sun
• Jedi Lertviwatkul
• Andrew Kim
• Daniel Chuang

A group Ghibli-style picture of the Cornell HPC undergraduates—from left: Nolan, Aaron, Zander, Noam (now PhD student at Yale CS), and Thomas (now MEng student at Cornell CS).

Launched into the Wild (aka Alumni):

• Noam Benson Tilsen (PhD student at Yale CS)
• Nakul Iyer (Meta)
• Andrew Chang (Meta)
• Matthew Rubino (Epic Systems)
• Lorenzo Pichetti — PhD student visiting in 2025 from the University of Trento
• Soon Jae Park (dMatrix AI)
• Albert Xiao — Co-advised with Professor David Bindel (Cornell University)
• Michael Carr
• Nolan Limzi
• Elia Zonta — Ugrad student visiting in 2024 from the University of Trento
• Chuhan Ouyan

Useful Resources for Students

The list is under construction, but in the meantime:

• A doc with advice related to graduate school application (I wrote this as a graduate student at UCB, but it generally applies to any research university).
• A repository with advice related to graduate school application, research, and PhD related to (mostly) CS, NLP, and ML.
• A curated list of application resources for prospective graduate students in Computer Science.
• Non-Technical Talks by David Patterson, UC Berkeley.
• How to Give a Good Colloquium by John E. McCarthy, Washington University in St. Louis.

Out-of-Context Group Photos