- Tao Wang: Lead Associate
Email: twang1@swarthmore.edu
Phone: 610-957-6139
Office: Kohlberg Hall 204
Office hours: Please make an appointment. Walk-ins welcome when door is open.
Affiliations: Social Sciences Quantitative Laboratory, Teaching & Learning Commons, Economics
Areas of Interest: International Economics, Environmental Economics, Applied Econometrics, Data Science
- Ella Foster-Molina: Associate
- Ella Foster-Molina is the founding member of the SSQL in 2017. Since then, the SSQL has served over 1100 students through workshops and individual support/mentoring/tutoring meetings. She worked with students on skills ranging from basic coding skills through completing complex yearlong research projects. She developed 32 unique workshops and delivered over 200 workshops. In addition, she co-created and co-taught an innovative Introduction to Data Science course in a multi-institutional collaborative called LACOL, which enrolled 25 Swarthmore students as well as over 200 students from other liberal arts colleges across the country.
Ella increased accessibility of data science skills across the social sciences by creating inclusive and welcoming classroom and meeting environments, making computing environments more accessible, fostering foundational computer literacy, and cultivating socially relevant and straightforward-to-understand datasets and examples.
Here are some documents Ella created that students have found quite helpful over the years:- An interactive webbook on interpreting regression tables. This includes visualizations of marginal effects in an interactive 3 dimensional regression surface.
- An overview of student happiness and GPA expectations from a survey run with students in introductory coding workshops from 2017-2025. Students use the data from this survey during live coding exercises in many introductory coding workshops.
Email: mfoster1@swarthmore.edu
Office: Kohlberg Hall 234
Office hours: Please make an appointment. Walk-ins welcome when door is open.
Affiliations: Social Sciences Quantitative Laboratory, Economics, Political Science, Sociology & Anthropology
Areas of Interest: American Politics, Statistical Methods (multicollinearity, feature selection & regularization), Data Science, Data Science Education
- Student Associates
Student associates are an integral part of the SSQL. Our associates apply their expertise in quantitative methods to help fellow students with coursework and independent research. They assist our full-time staff in workshops and hold their own clinic hours, which are typically in the evenings. The SSQL student associates also help with the Lab's other functions and are encouraged to take on projects that will help the Lab better serve faculty and students across the social sciences disciplines.
Aashish Panta '26
Michael Pham '25
Amine Boukardagha '24
Alicia Liu '24
Michael Sepe '22
Ben Bohman '22
Johanna Lee '23