About Me

I’m a first-year PhD student in Computer Science at University of Illinois Urbana-Champaign, advised by Prof. Jim Rehg. Before my PhD, I obtained my Bachelor’s degrees majoring in Data Science and Applied Mathematics from UC San Diego.

My interest lies in artificial intelligence for healthcare, with a current emphasis on self-supervised learning methods for analyzing time-series data. My ultimate goal is to create a safer, happier, and more equitable world with all my knowledge. Borrowing the slogan of Bayer, my motto is

Science for a Better Life

Undergrad Research Experience

1. Implementation of Distribution Testing Algorithms with Professor Daniel M. Kane
   • September 2021 - June 2024
   • Volunteer Undergraduate Researcher at Early Research Scholars Program (ERSP)
   • Repo
2. [From Theory to Pixels: Diffusion Models for Image and Data Generation] with Professor Alex Cloninger and Professor Rayan Saab
   • September 2023 - March 2024
   • Data Science major capstone project
   • Project Website
3. High-fidelity Customized Scene/Character Video Generation
   • Januaray 2024 - August 2024
   • Tencent Games Engine Technology Salon, Rocket Plan
   • Current generative models are widely used in image and video generation, however, the results usually cannot achieve high-fidelity as expected. We want to study algorithms that generate high-fidelity video with customized characters or scenes from the perspective of image dynamics.
4. The Impact of Security-Related Chatbots on Users’ Mental Model with Professor Imani N. S. Munyaka
   • September 2022 - December 2022 and March 2023 - June 2023
   • Admitted as part of the ERSP summer program.
   • Slides, Talk
5. CSNext: Graduate School Prep Workshop at UW Reality Lab with Shirley Xue and Antonio Glenn
   • March 2023 - May 2023
   • Selected to be part of the UW CSnext workshop.
   • Slides
6. Tweeter Data Analysis with Professor Imani N. S. Munyaka
   • June 2022 - September 2022
   • Early Research Scholars Program (ERSP) Summer Program
   • Twitter analysis including Data Gathering, Data Preprocessing, Keyword Trend Analysis, Sentiment Analysis, and Topic Modeling in both R and Python.

Projects

1. Dress Recommendation Chatbot

2. Auto login tool for amazon.com

3. Rotten Tomato Movie Score Visualization
   • Git repo
4. Analysis of US House Representatives Stock Trade
   • This is a project assignment from DSC 80 @UCSD instructed by Professor Justin Eldridge during Fall 2022.
   • With Zhengyun Nie(znie@ucsd.edu), we analyzed the stock trades of the US House of Representatives.
   • This project is consisted of two parts:
     • Data Propocessing & Analysis
     • ML classifier
5. Weather Bot
   • A practice of Rasa following a tutorial.