CV
Education
- Ph.D. in Computer Science, University of Connecticut, 2022–2027 (expected)
- Concentration in machine learning and health informatics
- Supervised by Prof. Jinbo Bi
- First place - School of Engineering’s Graduate Research Poster Competition (2023)
- B.S. in Computer Science (Computational Data Analytics), University of Connecticut, 2018–2022
- Honors Program, GPA: 3.99
- Minor in Linguistics
- Scholarship for Academic Excellence, Babbidge Scholar
- B.A. in Mathematics, University of Connecticut, 2018–2022
Work experience
- UConn Laboratory of ML & Health Informatics, University of Connecticut
Research Assistant (2020–Present)- Developing novel explainable machine learning techniques for applications in bioinformatics.
- The Travelers Companies
Software Developer (2019, 2024–2025)- Designing graph databases and representation learning methods for internal documents.
- School of Engineering, University of Connecticut
Teaching Assistant (2021, 2024–Present)- Courses: Big Data Analytics (CSE 4502/5717), Discrete Systems (CSE 2500), Machine Learning (CSE 5819).
- Boehringer Ingelheim
Software Developer (2021–2022)- Created an automated question-answering pipeline for pharmaceutical researchers.
Service and leadership
- Primary Organizer, UConn AI Summer Camp, 2025
- Volunteer Computer Science Instructor, Tolland Middle School, 2023–2025
- Social Justice Committee Member, UConn Graduate Employee Union (GEU), 2022–2023
Skills
- Distributed Computing
- Python
- PyTorch
- PyG
- TensorFlow
- NumPy
- Scikit-Learn
- NLTK
- Cypher Query Language (Neo4j)
- Gurobi
- ROS
Languages
- English — Native
- Mandarin Chinese — Professional working proficiency
Publications
Teaching
Teaching Assistant — Machine Learning (CSE 5819)
Teaching Assistant — Discrete Systems (CSE 2500)
Guest Lecturer: Cognitive Science (COGS 2201)
Teaching Assistant — Big Data Analytics (CSE 4502/5717)