I am an Assistant Instructional Professor in the Data Science Institute at the University of Chicago. My teaching and scholarly work focus on data science education, ethical data practice, and the design of accessible, interactive learning experiences for students developing technical, statistical, and critical reasoning skills.

I teach across the undergraduate data science curriculum, including introductory data science, computer science for data science, machine learning, and data science ethics. I am especially interested in helping students connect technical methods to real-world decision-making, communicate clearly about data, and develop confidence as problem solvers.

Before coming to the University of Chicago I attended Washington University in St. Louis where I received a double major in mathematics and psychology, graduating summa cum laude and as a member of the Phi Beta Kappa honor society. I went on to earn a masters degree in Data Analytics and Statistics before earning my doctorate in Computational and Data Sciences from Washington University in St. Louis as the pioneering graduate of the program, where I studied applications of machine learning and AI for scarce resource allocation in the context of homelessness prevention services. I was advised by Dr. Sanmay Das  at Virginia Tech and Dr. Patrick Fowler in the Division of Computational and Data Sciences at Washington University in St. Louis.

News

• June 2026: Congratulations to Atticus Ginsborg on presenting our work in his first conference poster at this year's ISLS Annual Meeting! The poster highlighted our recent work on developing interactive educational resources for teaching data science.
• December 2025: So proud of our ethics students this quarter! The end-of-quarter poster session was featured on the DSI blog
• November 2025: I've officially taken on a leadership role in the Data Science Institute's Preceptorship Program
• August 2025: I was accepted as a member of this year's cohort of Pedagogy Fellows through the Chicago Center for Teaching and Learning. Happy to be doing more work with the amazing people at the CCTL!
• January 2025: I received a competitive Physical Sciences Collegiate Division Curricular Innovation Award (Co-PI) to support the development of interactive, self-grading data science educational resources
• June 2024: Excited to have been interviewed by the Office of Civic Engagement about my work with Chicago Community Colleges as a Data Science Preceptor at The University of Chicago. You can learn more about this partnership in the resulting article.
• April 2024: Very honored to have been profiled by data.org in their article series 5 Minutes With... The article can be found here.
• April 2024: Looking forward to starting my new position as Assistant Instructional Professor at the University of Chicago Data Science Institute.
• October 2023: Thrilled to be presenting at ADSA this year in San Antonio! Looking forward to discussing data science education with so many wonderful instructors.
• April 2023: Excited to announce our paper Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery is officially published and available here
• June 2022: I am now officially a Preceptor at UChicago's DSI - excited to welcome our Summer Lab students!
• April 2022: I successfully defended my dissertation!
• February 2022: I accepted a position at the University of Chicago to begin June 2022