At the convergence of CS, Math, and Writing
I am a Data Scientist at Amazon, working on abuse detection and upholding trust in the Amazon retail site, part of the Community Trust org.
My research interests are broadly in responsible AI, including algorithmically modeling (un)fairness/interpretability/diversity and the foundational processes of implementing RAI in ML systems (Responsible MLOps).
From the theoretical side, I particularly like graph theory, learning theory, and algorithms.
While at Amazon, I also worked as a Machine Learning Software Engineer for AWS SageMaker Clarify, which offers bias detection and explainability methods for ML models and datasets hosted on AWS. Prior to that, I worked for the Secure AI Foundations Privacy org in Alexa AI, deploying ML models to detect and redact PII/PD in the Alexa ecosystem.
Before starting at Amazon, I was a Junior Ambassador and Fellow of the Congress-Bundestag Youth Exchange for Young Professionals (CBYX). As a Fellow, I represented the U.S. in Germany for a year-long cultural exchange program sponsored by the U.S. Congress and the German Bundestag. During my fellowship, I was a Research Intern at the Max Planck Institute for Software Systems with Krishna Gummadi, focusing on ethical interventions for Machine Learning projects.
I attended George Washington University, graduating with a BS in Computer Science and Mathematics with a minor in Creative Writing. Along the way, I'm grateful to have worked on a variety of projects with some amazing mentors, most in the realm of AI for Social Good:
- At GW, I worked with Robert Pless using deep learning to recognize pro-eating disorder (ED) content and designing applications to help ED patients in recovery.
- I've also worked on a project using multi-armed bandits to promote diversity when selecting a cohort of job applicants (AAMAS 2019) and learning optimal matching policies for kidney exchange at UMD's REU CAAR, advised by John P. Dickerson.
- In Summer 2018, I interned at Microsoft Research New England with Henry Cohn, using group theory to speed up matrix multiplication algorithms.
- In 2017, I studied online harassment and creating tools to combat it with technology, funded by a grant from Intel called Hack Harassment.
- In Summer 2016, I contributed to a project using NLP to generate reading comprehension tools for low-literacy adults in GW's Learning Technologies Research Group.
[Oct. 2022] - Co-organized the 3rd Responsible AI Workshop at the 2022 Amazon Machine Learning Conference.
[July 2022] - Started as a Data Scientist at Amazon in the Community Trust team.
[Aug. 2021] - Started as a ML Engineer on the AWS AI SageMaker Clarify team.
[Aug. 2021] - Spoke on an invited panel at JSM 2021: "Practical Challenges to Achieving Algorithmic Fairness in Industry (And What to do About Them)".
[Oct. 2020] - Earned my B1 Goethe Zertifikat in German!
[Sept. 2020] - Started as a Software Engineer at Amazon in the Alexa AI Secure AI Foundations Privacy org.
[May 2019] - I'm honored to have been awarded the Marvin Green Prize from the GW Math Department!
[May 2019] - I won the 2019 Baer Award for Excellence from GW for my leadership and scholarship!
[May 2019] - I got an Honorable Mention for the 2019 NCWIT Collegiate Award! Thanks again, NCWIT.
[April 2019] - I hosted this speaker event for GW CS Dept. with Vint Cerf---Google VP, Turing laureate, and one of the fathers of the Internet!
[Oct. 2018] - I was awarded the Best Student Paper Presentation at AIPR 2018 for my paper "Characterizing the Visual Social Media Environment of Eating Disorders" with Dr. Pless.
[Fall 2018] - Check out my senior design project page.
[March 2018] - I'm honored to receive a GW Undergrad Research Award and a Data Master Fellowship for my work with Robert Pless.
[March 2018] - I got an Honorable Mention for the 2018 NCWIT Collegiate Award! Thank you, NCWIT.
[March 2018] - 2nd place for Best Engineering Poster at GW Research Days 2018 for the ED project!
[Feb. 2018] - I'm a 2018 Google Lime Scholar! Thank you, Google.
[March 2018] - Media mention of our project analyzing images of Eating Disorders with deep learning.
[March 2018] - Both of my posters on my work with Dr. Dickerson and Dr. Pless were finalists in the GW SEAS 2018 R&D Showcase!
[Feb. 2018] - SIGCSE-18: How to Make Higher-Ed Teaching More Accessible to Students with Disabilities
[Feb. 2018] - I organized and hosted this event with real-life Hidden Figure Christine Darden.
[Oct. 2017] - The 400-person hackathon I co-organized, Hackital, was awesome!