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

Large Language Models and Simple, Stupid Bugs pdf, repo

MSR 23

Technical Research Papers

FlexType A Plug-and-Play Framework for Type Inference Models pdf, video, repo, docker

ASE 22

Tool Demonstrations Track

Learning To Predict User-Defined Types pdf, repo

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

Learning Type Annotation Is Big Data Enough pdf, repo

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