Ph.D. in Machine Learning
Atlanta, GA
Aug. 2019 — Present
Bachelor of Science (B.S.), GPA: 3.95/4.00
Majors: Computer Sciences (Honor), Statistics (Honor), Mathematics
Madison, WI
Sept. 2015 — May 2019
Research Intern, PAIR
New York City, NY
May 2023 — Aug. 2023
Design and develop novel interactive tools to foster responsible AI awareness among people who prototype AI features with large language models.
Research Intern, AI/ML
Seattle, WA
May 2022 — Aug. 2022
Design and develop novel visual analytics tools to help machine translation engineers and researchers evaluate, monitor, and improve their industry-scale models over time.
Research Intern, Responsible AI
Redmond, WA
May 2021 — Aug. 2021
Design and develop novel visualization tools to empower data scientists and domain experts to easily and responsibly improve their ML models by aligning model behaviors with human knowledge and values.
Mentor: Liang Gou
Sunnyvale, CA
June 2020 — Aug. 2020
Research and develop explainable machine learning models and visual analytics solutions to help autonomous driving domain experts understand and control adversarial case generation for object recognition.
Atlanta, GA
Aug. 2019 — Present
Member of the Polo Club of Data Science where we innovate scalable, interactive, and interpretable tools that amplify human's ability to understand and interact with billion-scale data and machine learning models.
Madison, WI
Dec. 2017 — Aug. 2019
Classify T-cell and breast cancer cell types using fluorescent images with machine learning classifiers with a gradient of complexity. Interpret feature representations of each classifiers. Analyze about 1 million 5-channel cell-painting images of bone tumor cells. Explore latent space between image space and chemical molecule space.
Undergraduate Researcher, Department of Computer Sciences
Madison, WI
Dec. 2018 — June 2019
Design and develop a visual analytics tool for recommender system researchers. Interactively visualized user-item rating matrix with statistics-conditioned sub-sampling to spot abnormal ratings and predictions.
Mentor: Yu Hen Hu
Madison, WI
Feb. 2017 — Dec. 2017
Study how to track car driver’s head position and orientation from low-quality traffic video. Develop semi-automatic video annotation software with Viola-Jones frontal face detector for training object tracking algorithms. Implement real-time face tracking algorithms on iOS devices. Train a facial reenactment model using GANs and port it to iOS device.
July 2023
DiffusionDB receives a Best Paper, Honorable Mention Award at ACL 2023.
June 2023
Queer in AI case study receives a Best Paper Award at FAcct 2023.
March 2023
A fellowship program to support and amplify emerging leaders in their field and their cutting-edge machine learning research.
Apr. 2022
A fellowship program to support novel and impactful thesis work of PhD students.
Dec. 2021
GAM Changer receives a Best Paper Award at NeurIPS 2021 Workshop on Bridging the Gap: From ML Research to Clinical Practice.
Oct. 2020
People Map receives a Best Poster Research Award, Honorable Mention at IEEE VIS 2020.
May 2019
An award recognizing undergraduate students who have completed an outstanding independent project.
June 2018
A research grant awarded to talented students to undertake more demanding and extensive senior thesis research projects.
June 2017
A research grant awarded to talented students to participate in actual, cutting-edge research.
Aug. 2015 – May 2019
Achieved at least a 3.60 GPA as freshmen and sophomores, a 3.85 GPA as juniors and seniors.

Selected: Latest & Greatest

Journal

Acta Geotech. 2022.

Conference

ionicons-v5-i
Project
Demo
Video
PDF
BibTeX
( * Authors contributed equally )
ionicons-v5-i
Project
Demo
PDF
BibTeX
( * Authors contributed equally )

Extended Abstract

ionicons-v5-i
Project
PDF
BibTeX
( * Authors contributed equally )

Workshop

ionicons-v5-i
Project
PDF
Poster
BibTeX
( * Authors contributed equally )

Demo

Poster Paper

IEEE Visualization Conference (VIS Poster). 2022.
IEEE Visualization Conference (VIS Poster). 2020.

Preprint

arXiv Preprints (arXiv). 2024.
arXiv Preprints (arXiv). 2023.
arXiv Preprints (arXiv). 2023.
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
July 2023
Aug. 2023
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
July 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization
StickyLand: Breaking the Linear Presentation of Computational Notebooks
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Aug. 2021
Aug. 2020
Classifying T Cell Activity with Convolutional Neural Networks
A fellowship program to support and amplify emerging leaders in their field and their cutting-edge machine learning research.
March 2023
Co-authored a proposal resulting in $150k research funding on responsible AI from Cisco.
Aug. 2022
A fellowship program to support novel and impactful thesis work of PhD students.
Apr. 2022
My visual analytics research during my internship results in $37,000 gift funding from Bosch.
Jan. 2021
An award recognizing undergraduate students who have completed an outstanding independent project.
May 2019
A research grant awarded to talented students to undertake more demanding and extensive senior thesis research projects.
June 2018
A research grant awarded to talented students to participate in actual, cutting-edge research.
June 2017
Graduate Teaching Assistant
Atlanta, GA
Jan. 2023 — May 2023
Lead homework designs for data visualizations, hold weekly office hours, and answer student questions on Piazza. The course had 1124 graduate students enrolled.
Graduate Teaching Assistant
Atlanta, GA
Aug. 2020 — Dec. 2020
Lead homework designs for data visualizations, hold weekly office hours, and answer student questions on Piazza. The course had 1277 graduate students enrolled.
Undergraduate Teaching Assistant
Madison, WI
Dec. 2018 — May 2019
Create course notes and weekly assignments, hold weekly office hours, and answer student questions on Piazza. The course had 180 undergraduates enrolled.
Notetaker
Madison, WI
Sept. 2016 — May 2019
Provide clearly-written math and statistics notes to students with disability, answer course-related questions.
Academic Coach
Madison, WI
Nov. 2016 — May 2017
Mentor undergraduate students in DDEEA programs for Data Structure course, design two worksheets and provided detailed solutions every week.
Tutor
Madison, WI
Jan. 2016 — Jan. 2017
Instruct peers one-on-one in programming and math problems for three hours weekly, lead review sections to help students study for calculus exams.
CS Undergraduate, Georgia Tech
Aug. 2021 — Present
CS Undergraduate, Georgia Tech
CS PhD, Stanford
Aug. 2019 — May 2022
Outstanding Freshman Award (2020)
CS Undergraduate, Georgia Tech
Software Engineer, Google
Aug. 2019 — Aug 2021
Outstanding Senior Award (2021), PURA Travel Award (2020)
CS Undergraduate, Georgia Tech
Predoctoral Investigator, Allen Institute for AI
May 2020 — Aug 2021
Programming
Python, TypeScript, JavaScript, WebAssembly, Rust, Swift, R, Julia, PyTorch, TensorFlow, HTML, CSS, LaTeX, SQL, C++, Git
Design
Affinity Designer, Final Cut Pro, Affinity Photo, Keynote, Sketch, Figma, Illustrator, Photoshop
HCI
Think-aloud protocol, Affinity Diagraming, Cognitive walkthrough, Heuristic evaluation, Rapid Paper Prototyping, User Personas