Ph.D. in Machine Learning 
 Advisor: Duen Horng (Polo) Chau
  Thesis Committee:  Duen Horng (Polo) Chau, Judy Hoffman, Munmun De Choudhury, Lauren Wilcox, Jenn Wortman Vaughan, Rich Caruana 
 Atlanta, GA
 Aug. 2019 — Aug. 2024
 Bachelor of Science (B.S.), GPA: 3.95/4.00 
 Majors:  Computer Sciences (Honor), Statistics (Honor), Mathematics 
    Madison, WI
 Sept. 2015 — May 2019
 Member of Technical Staff, Safety Systems
 San Francisco, CA
 Aug. 2024 — Present
 Design and develop fundamental solutions and interactive tools to enable the safe deployment of the most advanced AI models. 
 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. 
 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. 
 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. 
 Dec. 2024
 An annual list recognizing the most influential young leaders, innovators, and entrepreneurs across different industries.
 July 2024
 MeMemo receives a Best Short Paper, Honorable Mention Award at SIGIR 2024.
 April 2024
 Farsight receives a Best Paper, Honorable Mention Award at CHI 2024.
 July 2023
 DiffusionDB receives a Best Paper, Honorable Mention Award at ACL 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
CHI Conference on Human Factors in Computing Systems (CHI). 2024. 
   Annual Meeting of the Association for Computational Linguistics (ACL Demo). 2024. 
   Annual Meeting of the Association for Computational Linguistics (ACL Demo). 2023. 
   Journal
Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, Mahdi Roozbahani, Duen Horng (Polo) Chau
 IEEE Transactions on Visualization and Computer Graphics (TVCG). 2023. 
   Transactions on Machine Learning Research (TMLR). 2023. 
   Northern European Journal of Language Technology (NEJLT). 2023. 
   Acta Geotech. 2022. 
   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. 
   Journal of Biophotonics. 2019. 
   Conference
Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, ShengYun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng (Polo) Chau
 IEEE Visualization Conference (VIS). 2024. 
   CHI Conference on Human Factors in Computing Systems (CHI). 2024. 
   ACM Conference on Fairness, Accountability, and Transparency (FAccT). 2023. 
   CHI Conference on Human Factors in Computing Systems (CHI). 2023. 
   CHI Conference on Human Factors in Computing Systems (CHI). 2023. 
   Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng (Polo) Chau, Cynthia Rudin, Margo Seltzer
 IEEE Visualization Conference (VIS). 2022. 
   David Munechika, Zijie J. Wang, Jack Reidy, Josh Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng (Polo) Chau
 IEEE Visualization Conference (VIS). 2022. 
   Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh, Vibhor Sehgal, Ankit Peshin, Duen Horng (Polo) Chau
 IEEE Visualization Conference (VIS). 2022. 
   International AAAI Conference on Web and Social Media (ICWSM). 2022. 
   Nilaksh Das*, Haekyu Park*, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng (Polo) Chau
 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. 
   Extended Abstract
Workshop
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. 
   Demo
Annual Meeting of the Association for Computational Linguistics (ACL Demo). 2024. 
   Annual Meeting of the Association for Computational Linguistics (ACL Demo). 2023. 
   Companion Proceedings of the Web Conference (TheWebConf Demo). 2023. 
   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. 
   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. 
   Poster Paper
Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng (Polo) Chau
 IEEE Visualization Conference (VIS Poster). 2024. 
   Seongmin Lee, Zijie J. Wang, Aishwarya Chakravarthy, Alec Helbling, ShengYun Peng, Mansi Phute, Duen Horng (Polo) Chau, Minsuk Kahng
 IEEE Visualization Conference (VIS Poster). 2024. 
   International Conference on Learning Representations (Tiny Papers at ICLR). 2024. 
   IEEE Visualization Conference (VIS Poster). 2022. 
   Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng (Polo) Chau
 IEEE Visualization Conference (VIS Poster). 2020. 
   US-11410440-B2. 2020.
 Democratizing Human-Centered AI with Visual Explanation and Interactive Guidance
 July 2024
 OpenAI 
Invited
 May 2024
 Apple 
Invited
 May 2024
 Farsight: Fostering Responsible AI Awareness During AI Application Prototyping
  WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
 July 2023
 Google Research Adaptive AI 
Invited
 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
 Oct. 2022
 StickyLand: Breaking the Linear Presentation of Computational Notebooks
 Budapest Machine Learning Forum 
Invited
 May 2022
 Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
 Aug. 2022
 Dec. 2021
 Nov. 2021
 Sept. 2021
 CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
 April 2023
 Aug. 2021
 Oct. 2020
 Aug. 2020
 Classifying T Cell Activity with Convolutional Neural Networks
 April 2019
 Georgia Tech CoC 
 May 2024
 Georgia Tech CoC 
 March 2023
 Georgia Tech CoC 
 April 2022
 Georgia Tech 
 Aug. 2021
 Georgia Tech CSE 
 June 2021
 Gigazine 
 Japanese
 July 2020
 Intel News Byte 
 April 2020
 Co-authored a proposal resulting in $1.2M research funding on enhancing the efficiency and usability of large vision models. 
  July 2024
 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
  Data & Visual Analytics (CSE 6242), Instructor: Duen Horng (Polo) Chau
 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
  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. 
 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) 
 Session Chair
 Program Committee
 Reviewer
 ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)  2021, 2022, 2023, 2024  
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 
Polo Chau, Associate Professor
    Rich Caruana, Senior Principal Researcher
    Jenn Wortman Vaughan, Senior Principal Researcher
    Mike Terry, Research Scientist
    Liang Gou, Principal Research Scientist