CV

Education

• Bachelor of Science, University of California, Los Angeles, 2023
  • Majors: Computer Science, Applied Mathematics
  • Cumulative GPA: 3.984 (out of 4)

Research and Intership

• Research Assistant, Machine Learning and Genomics Lab, Deparment of Computer Science, UCLA
  • October 2021 – Present
  • Mentor: Professor Sriram Sankararaman
  • Description: I work on scalable and interpretable machine-learning methods for Genome-Wide Association Studies (GWAS) in this lab. I have been involved in the project FastKAST: a fast kernel-based association testing method of non-linear genetic effects for Biobank-scale data; currently, I am developing a set-based association test for GxE interactions with Ph.D. candidate Boyang Fu.
• Member, the Junction of Statistics and Biology Lab, Department of Statistics, UCLA
  • September 2020 – Present
  • Mentor: Professor Jingyi Jessica Li
  • Description: I benchmarked the methods of isoform abundance quantitative trait loci (isoform-QTL) under the guidance of Dr. Xinzhou Ge. In this project, I have built a robust pipeline to benchmark isoform-QTL and splicing-QTL methods using the GTEx read data from specific tissues. I also implemented Clipper: p-value-free FDR control on high-throughput data from two conditions in Python.

Experiences and Activities

• Participant, UCLA Applied and Computational Mathematics REU Program
  • Summer 2022
  • Supervisors: Andrea Bertozzi, Jeffrey Brantingham, Junyuan Lin, Rishi Sonthalia
  • Description: I led the project Knowledge Graphs of the QAnon Twitter Network in the Computational and Applied Math REU program. We analyzed the QAnon Tweets dataset using co-occurrence graphs, topic modeling, time series analysis, and dynamic community detection. We also developed KG-labeled topics, a novel method for producing labeled topics with Knowledge Graph relations. I coordinated with different group members during the project, and were responsible for a significant part of results in the final paper submitted to the IEEE Big Data workshop on Knowledge Graph.
• Participant, Bruins-In-Genomics (B.I.G.) Summer Research Program
  • Summer 2021
  • Supervisor: Jingyi Jessica Li
  • Description: Bruins in Genomics Summer Research Program (2021) hosted by UCLA QCBio is an 8-week full-time immersion program for undergraduates interested in learning how to read and analyze genes and genomes. I learned data analysis in R, presented the method DORGE: Discovery of Oncogenes and tumoR suppressor genes using Genetic and Epigenetic features in a journal club, and reproduced the previous research results on benchmarking different methods of isoform abundance quantitative trait loci using simulated data.

Class Projects

• Non-linear Genetic Effects for Complex Traits
  • Interpretable Machine Learning
  • Sept. 2022 - Present
• Text Generation based on GPT-2
  • Software Engineering
  • April 2022 – June 2022
• DeepFake Generation
  • Deep Learning for Computer Vision
  • January 2022 – August 2022
• Inspecting COVID-19 using SAIRS Model with Immunization
  • Mathematical Modeling
  • September 2021 – December 2021
• Bruin Share
  • Tech Web Application
  • September 2020 – December 2020

Honors and Awards

• Departmental Honors in Applied Mathematics, UCLA (Candidate)
  • At Graduation
• Latin Honors (Summa Cum Laude) in the School of Engineering and Applied Science, UCLA (Candidate)
  • At Graduation
• Dean’s Honors List
  • Fall 2019 – Present

Relevant Courses

Technical Skills

Python, C/C++, Shell Script, R, Matlab, Git, LaTeX, MySQTL, HTML/CSS, React