Guanghao(Gary) Wei

Guanghao(Gary) Wei

M.Eng. in Computer Science, Ph.D. Applicant

Cornell University


My research interests lie at the intersection of machine learning systems, theory, and AI-driven scientific advancements, where I leverage my mathematical and engineering talents to pioneer cutting-edge solutions. I work at Cornell Relax ML Lab with Prof. Chris De Sa on efficient machine learning algorithms and systems. Our work, grounded in mathematical principles, 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
  • Optimization Theory
  • AI for Science - Biology/Chemistry/etc
  • 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)


Unihack’ 21 Hackathon
1st place, ¥10,000 awarded
See certificate
Dean’s List Honors for 8 consecutive semesters

Recent Publications

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