Bachelor of Science (B.S.), GPA: 3.95/4.00
Majors: Computer Sciences (Honor), Statistics (Honor), Mathematics
Madison, WI
Sept. 2015 — May 2019
Ph.D. Researcher, School of Computational Science and Engineering
Mentor: Duen Horng (Polo) Chau
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.
Undergraduate Researcher, John W. and Jeanne M. Rowe Center for Research in Virology
Mentor: Anthony Gitter
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
Mentor: Michael Gleicher
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.
Research Assistant, Electrical & Computer Engineering
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.
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.
Research Intern, Human–Machine Interaction
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.
arXiv Preprints (arXiv). 2022.
International AAAI Conference on Web and Social Media (ICWSM). 2022.
arXiv Preprints (arXiv). 2022.
Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, ShengYun Peng, Haekyu Park, Duen Horng (Polo) Chau
IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR Demo). 2022.
IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR Demo). 2022.
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng (Polo) Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana
NeurIPS Workshop on Bridging the Gap: From Machine Learning Research to Clinical Practice (Research2Clinics). 2021.
arXiv Preprints (arXiv). 2021.
Annual Meeting of the Association for Computational Linguistics (ACL Demo). 2021.
Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng (Polo) Chau
AAAI Conference on Artificial Intelligence (AAAI Demo). 2021.
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng (Polo) Chau
IEEE Transactions on Visualization and Computer Graphics (TVCG). 2020.
Nilaksh Das*, Haekyu Park*, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau
IEEE Visualization Conference (VIS). 2020.
Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng (Polo) Chau
Poster, IEEE Visualization Conference (VIS). 2020.
Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng (Polo) Chau
The Conference on Information and Knowledge Management (CIKM). 2020.
IEEE International Conference on Big Data (BigData). 2020.
Journal of Biophotonics (J. Biophotonics). 2019.
StickyLand: Breaking the Linear Presentation of Computational Notebooks
May 2022
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
Dec. 2021
Sept. 2021
Aug. 2022
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Aug. 2021
Oct. 2020
Aug. 2020
Classifying T Cell Activity with Convolutional Neural Networks
April 2019
Georgia Tech
Aug. 2021
Georgia Tech CSE
June 2021
Gigazine
Japanese
July 2020
Intel News Byte
April 2020
The JPMC AI PhD Fellowship program is intended to support novel and impactful thesis work of PhD students and enables opportunities for PhD students to engage with research professionals at JPMC.
Apr. 2022
GAM Changer's preliminary version receives a Best Paper Award at the NeurIPS 2021 Workshop on Bridging the Gap: From Machine Learning Research to Clinical Practice.
Dec. 2021
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, such as a senior thesis.
May 2019
A research grant funding 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
Achieved at least a 3.60 GPA as freshmen and sophomores, a 3.85 GPA as juniors and seniors.
Aug. 2015 – May 2019
Graduate Teaching Assistant
Data & Visual Analytics (CSE 6242), Instructor: Duen Horng (Polo) Chau
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
Computer Graphics (CS 559), Instructor: Michael Gleicher
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.
B.S. in Computer Science, Georgia Institute of Technology
Aug. 2019 — Present
PURA Travel Award (2020)
B.S. in Computer Science, Georgia Institute of Technology
Aug. 2019 — Present
Outstanding Freshman Award (2020)
Program Committee
Reviewer
Programming
Python, JavaScript, Swift, WebAssembly, R, Julia, PyTorch, TensorFlow, Keras, HTML, CSS, LaTeX, SQL, C++, Git
Design
Affinity Designer, Affinity Photo, Final Cut Pro, Sketch, Keynote, Illustrator, Photoshop
HCI
Think-aloud protocol, Affinity Diagraming, Cognitive walkthrough, Heuristic evaluation, Rapid Paper Prototyping, User Personas
Polo Chau, Associate Professor
Rich Caruana, Senior Principal Researcher
Jenn Wortman Vaughan, Senior Principal Researcher
Liang Gou, Principal Research Scientist
Anthony Gitter, Associate Professor