Guanghao(Gary) Wei

Guanghao(Gary) Wei

M.Eng. in Computer Science

Cornell University


My research interests lie at the intersection of Machine Learning Systems, Optimization Theory, High Performance Computing, and AI for Science, where I leverage my mathematical and engineering talents to pioneer cutting-edge solutions. I work at Cornell Relax ML Lab advised by Prof. Chris De Sa on efficient machine learning algorithms and systems. Grounded in mathematical principles, our work aims to expedite large-scale, high-performance machine learning systems that are efficient, parallel, and distributed in real-world settings. Parallel to this, I collaborate on AI-driven molecule generation with talented Ph.D. students.

My academic journey has led me to a Master of Engineering in Computer Science at Cornell University. Prior to this, I pursued dual B.S. degrees in Computer Science and Mathematics at the University of Massachusetts Amherst, complemented by a minor in Japanese. My specialization in Mathematics focused on Applied Math and Scientific Computing. Prior to my graduation, I engaged in research at the UMass BioNLP Lab under Prof. Hong Yu, concentrating on bio-medical and clinical NLP applications within Electronic Health Records.

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  • Machine Learning Systems
  • AI for Science
  • Optimization Theory
  • High Performance Computing
  • M.Eng. in Computer Science, 2023

    Cornell University

  • B.S. in Computer Science, 2022

    University of Massachusetts Amherst

  • B.S. in Mathematics, 2022

    University of Massachusetts Amherst

  • High School Diploma, 2018

    Beijing No.4 High School


Cornell University
Teaching Assistant
August 2023 – Present New York

TA of CS 4700: Foundations of Artificial Intelligence

Duties include:

  • Grading Homeworks and Exams
  • Hosting Office Hours
Cornell Relax ML Lab
Research Assistant
February 2023 – Present New York

Responsibilities include:

  • Library implementation
  • Research in optimal data permutation for various optimization algorithms


UMass BioNLP Lab
Research Assistant
May 2021 – June 2022 Massachusetts

Responsibilities include:

  • Information Retrieval
  • Data Processing
  • Model Implementation
  • Application (Full-stack Web) Implementation

Research & Projects:

  • NoteAid Epic App (Full Stack Web App)
  • NoteAid Annotations (Research)
  • NoteAid Annotations Lay Definition Generation (Research)
  • Grammatical Error Correction for EHR Notes (Research)


Bay State Fellowship Recipient at UMass Amherst (Declined)
UMass Cybersecurity Club
UMass CTF 2022
4th place on UMass Leaderboard, 37th place on the global leaderboard
See certificate
Unihack’ 21 Hackathon
1st place, ¥10,000 awarded
See certificate
Dean’s List Honors for 8 consecutive semesters
UMass Amherst
Chancellor’s Award
Chancellor’s Award at UMass Amherst, $40,000 Scholarship