The UChicago – City Colleges of Chicago Data Science Preceptorship Program places recent Ph.D. graduates in teaching roles at both UChicago and the City Colleges and provides them with faculty mentoring and training in creating effective and inclusive learning environments. The program is part of a broader partnership between UChicago and CCC to strengthen STEM educational and career opportunities and create a more diverse field of professionals entering the sciences. In addition to broadening the pipeline for STEM education locally in Chicago, the partnership hopes that this preceptorship program will serve as an adaptable and scalable model for efforts to improve diversity in data, computing and other fields.
We are currently accepting applications for preceptors to start on August 1, 2024. Learn more and apply.
Evelyn CampbellPreceptor, Data Science Institute
Amanda KubePreceptor, Data Science Institute
Susanna LangePreceptor, Data Science Institute
Satadisha Saha BhowmickPreceptor, Data Science Institute
Bill TrokPreceptor, Data Science Institute
Evelyn is a preceptor in data science focusing on data science education as a joint instructor for both the University of Chicago and City Colleges of Chicago. She obtained her PhD in Microbiology from the University of Chicago in 2022 and her BS in Biology from Rider University in 2016. She enjoys reading, writing, and talking with friends and family.
Amanda is a preceptor in data science focusing on data science education as a joint instructor for both the University of Chicago and City Colleges of Chicago. Prior to joining the DSI, Amanda earned her PhD in Computational and Data Sciences from Washington University in St. Louis, co-advised by Sanmay Das and Patrick Fowler. Her research interests involve the intersection of computer science and the social sciences with a focus on fair applications of AI to social-scientific questions. Her current work combines machine learning and human decision-making to inform fair and efficient service allocations for homeless families. She received her bachelor’s degree in Psychology and Statistics and her master’s degree in Data Analytics and Statistics both from Washington University in St. Louis.
Satadisha is a Preceptor focusing on data science education at the Data Science Institute of the University of Chicago, where she is working jointly with the City College of Chicago. She graduated with a PhD in Computer Science from the State University of New York at Binghamton, under the supervision of Prof. Weiyi Meng.
Her research lies in the intersection of Natural Language Processing, Information Retrieval and Machine Learning. Her doctoral dissertation focussed on the problem of scalable Named Entity Recognition for Microblog Streams. To this end, her work involves applying and building state-of-the-art Deep Learning pipelines that yield more effective results for NLP tasks on microblog messages.
She also briefly worked as a Machine Learning Engineer for the Content Growth and Moderation Team at Quora.
In addition to her research, she had assisted the Department of Computer Science at SUNY Binghamton in teaching several graduate and undergraduate level courses. She is excited to continue her academic career and teaching journey in her role as a Preceptor. Outside her academic work, she spends time studying history, writing fiction and passionately supporting Liverpool Football Club. But mostly, she yearns for Kolkata!
Bill Trok is a Preceptor in Data Science focusing on data science education as a joint instructor for both the University of Chicago and City Colleges of Chicago. He holds a PhD in Mathematics from the University of Kentucky, where he worked with Uwe Nagel researching polynomial interpolation and applications of combinatorial optimization to algebraic geometry. In his spare time he enjoys running and cooking.