Welcome to my personal page where I post publications, Medium articles, and more about machine learning, natural language processing, and deep learning. My primary focus is on the intersection of ML (machine learning) and software engineering (SE). I got my Ph.D. in 2023 advised by Prem Devanbu. Feel free to look around at my projects and publications!
Select Publications
MSR 23
Technical Research Papers
FlexType A Plug-and-Play Framework for Type Inference Models pdf, video, repo, docker
ASE 22
Tool Demonstrations Track
IEEE Transactions on Software Engineering (TSE)
Journal
ManyTypes4TypeScript A Comprehensive TypeScript Dataset for Sequence-Based Type Inference pdf, repo
MSR 22
Data and Tools Showcase
ESEC FSE 2021
Ideas, Visions, Reflections
Gunrock A Social Bot for Complex and Engaging Long Conversations pdf
EMNLP 2019
System Demonstrations
Building A Human Like Social Bot By Leveraging Large Scale Real User Data pdf, video
Alexa Prize Proceedings
Social Bot Grand Challenge 2 Proceedings
Competitions
Amazon Alexa Prize
2018
Grand Winner
Education
Computer Science Ph.D. in Artificial Intelligence
University of California, Davis
Computer Science M.S. in Artificial Intelligence
University of California, Davis
2019
Computer Science B.S.
University of California, Santa Cruz
2015
Computer Engineering B.S.
University of California, Santa Cruz
2019
Experience
Siemens
2022
Research Scientist
Intel AI
2019
Research Scientist
UC Davis GSR
2017-Present
Research Scientist