Algorithms for Large-Scale Parallel Systems (ALPS) Lab
The ALPS Lab develops scalable, efficient algorithms and systems software for irregular and sparse computation on large-scale parallel and heterogeneous architectures. Our work includes sparse linear algebra, communication-avoiding distributed algorithms, and emerging hardware technologies, with applications in scientific computing, computational biology, machine learning, and graph analytics.
I'm the proud PhD advisor of:
- Julian Bellavita (CS, 2023 —); Cornell Fellowship (2023 — 2024); DOE CSGF fellow (2024 — 2028)
- Qingyao Sun (ORIE, 2023 —); Co-advised with Professor Anil Damle (Cornell University)
- Yifan Li (CS, 2025 —); Cornell Hartmanis-Hocroft Fellowship (2026 — 2027)
- Irene Simó Muñoz (CS, 2025 —); Cornell Veena & Induprakas Keri Fellowship (2025 — 2026)
- Victor Kamel (CS, 2026 —); Cornell Fellowship (2026 — 2027)
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 (PhD student at GeorgiaTech CSE starting Fall 2026)
- 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
