I’m a Ph.D. student in the HCII at CMU advised by Dominik Moritz and Adam Perer.
My research interests lie in developing ways to make complex systems easier to use and understand for experts and non-experts. I am interested in how we can build tools to help users interact with their data through understandable Machine Learning, interactive visualizations, and reccomended analysis. I’m also interested in how these techniques can be applied to the medical domain to improve both doctor and patient experiences.
August 2016 — May 2020
B.S. in Computer Science
Georgia Institute of Technology
GPA: 4.0, Summa Cum Laude, threads in Intelligence and Modeling/Simulation Sample Coursework: Machine Learning, Deep Learning, Computer Vision, Computer Architecture, Algorithms, Computer Simulation, Information Visualization
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
Angel Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng (Polo) Chau
FairVis is a Visual Analytics system that allows users to audit their machine learning models for intersectional bias by exploring the model's performance on various user-specified and reccomended subgroups in a dataset.
IEEE Conference on Visual Analytics Science and Technology (VAST). Vancouver, Canada, 2019.
Project Demo PDF Blog Recording Slides Code BibTeX
RECAST: Interactive Auditing of Automatic Toxicity Detection Models
Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng (Polo) Chau
RECAST is an interactive tool that allows users to audit toxicity detection models with their own input text and suggests alternative wordings for detected toxic speech.
The eighth International Workshop of Chinese CHI. 2020.
Project PDF BibTeX
May 2019IEEE Visualization Conference
Honors and Awards
2019PURA: President's Undergraduate Research Award
$1500 research grant to continue work on FairVis project
2016Stamps President's Scholarship
Full ride scholarship given to 40 incoming freshman at Georgia Tech
August 2020 - PresentCarnegie Mellon University, Pittsburgh, PA
Graduate Researcher, Data Interaction Group (DIG)
Advisor: Dominik Moritz, Adam Perer
Member of the DIG research group, working on novel data visulizations, ML interpretation techniques, and interactvie data systems.
January 2019 - May 2020Georgia Institute of Technology, Atlanta, GA
Undergraduate Researcher, Polo Club of Data Science
Advisor: Duen Horng (Polo) Chau
Member of the Polo Club of Data Science working on novel data visulizations to find fairness issues in Machine Learning models
January 2018 - May 2019Georgia Institute of Technology, Atlanta, GA
Undergraduate Researcher, Automated Algorithm Design
Advisor: Jason Zutty, Greg Rohling
Worked on EMADE algorithm design engine to implement sentiment analysis pipeline to analyze news articles to aid in predicting stock price movements using genetic algorithms. Led project to visualize the genetic algorithm evolution process.
Summer 2019Point72 Asset Management, New York, NY
Data Analytics Intern, Market Intelligence Group
Mentor: Trevor Rempel
Worked as Data Scientist in alternative data space to clean, model, and understand large datasets
Relevant Skills: Python, Distributed Computing in Spark
Summer 2018Ultimate Software, Weston, FL
Software Development Intern, Innovation Strategies Team
Mentor: Joseph Cutrono
Designed and developed Slack app to integrate with the UltiPro HR management tool. App published to Slack app store.
Relevant Skills: Typescript, REST API development
Summer 2015The Home Depot, Atlanta, GA
Software Development Intern
Developed web app for tracking candidate progress throughout hiring process for internal HR use.
August 2017 - December 2018Undergraduate Teaching Assistant
Georgia Institute of Technology, Atlanta, GA
Intro to Database Systems (CS 4400), Instructor: Monica Sweat
Designed projects, held office hours and graded for relational databases class.
Leadership & Activities
January 2019 - May 2020 Student Ambassador
Georgia Institute of Technology Alumni Association
Serve as official representative of the Institute at events/tours for alumni, prospective students, and special guests.
January 2018 - May 2019 Executive Board Member -- Threads Co-chair
Stamps Scholars National Convention 2019
Executive board member of Stamps Scholars National Convention, a 3-day conference with over 700 student attendees. Responsible for 20-person committee that plans and coordinates the different content threads of the convention.
ICLR’19 Reproducibility Challenge
Implemented the architecture and reproduced results for an ICLR'19 submission using GANs to decorrelate sensitive data, titled Generative Adversarial Models for Learning Private and Fair Representations.
January 2018 - December 2018
Atlanta Crime Map
Led a team as part of Data Science Club at GT to analyze and visualize crime data on and around GT's campus to provide insight into crime frequency and details for GTPD.
Created supervised learning system to predict dangerous road areas to help make cities safer at Citadel and Correlation One's Datathon at Georgia Tech. Team placed top 3.
February 2017 - December 2017
Developed interface between core state machine and battery systems on Avionics team of student-led cube satellite project. Learned C while working on project.
Toolkits, Frameworks, Software: Pytorch, Scikit-learn, Git, VegaLite, D3, Tableau, MacOS, Windows, Linux
Natural Languages: English (Native), Spanish (Advanced)