students
Collection of useful (and sometime critical) information for students.
I’m looking for PhD students with a background in parallel programming and interest in high-performance computing for computational sciences. The admissions process is through Cornell CIS and not through me personally.
useful resources for (prospective) students
Under construction.
- Cornell CS student-applicant support program. You may apply to this program to receive feedback on your application before submitting it to Cornell CS. You must submit a form by October 7, 2022 to participate, and then submit your application material by November 4, 2022 (both are required).
- 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.
- …
present mentorship and student advising
- Yifan Li (Cornell University and Tsinghua University).
- Michael Carr (Cornell University).
- Thomas McFarland (Cornell University).
- Julian Bellavita (Cornell University).
- Max Xiaohang Zhao (Charité Universitätsmedizin, Berlin).
- Luk Burchard (Simula Research Laboratory, Norway).
past mentorship and student advising
- Gabriel Raulet (LBNL).
- David Schober (ETH Zürich), Fall 2021, jointly with Can Firtina.
- Helena (Lena) Duplechin Seymour (Washington State), SC21 Mentor-Protégé.
- Bridget Agyare (Undergrad, UC Berkeley).
- Richard Lettich (Undergrad, UC Berkeley).
- Elizabeth Koning (Currently Grad Student, UIUC). Summer Undergraduate Program in Engineering Research at UC Berkeley (SUPERB) mentor.