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!

Meghan Hutch is a new Data Science Preceptor with the Data Science Institute and the City Colleges of Chicago. This summer, Meghan graduated with her PhD from Northwestern University where she studied Biomedical Informatics and applied data science for clinical risk model development. She enjoys empowering students of all abilities to become more confident coders and is excited to grow as a data science educator with the DSI team! In her free time, Meghan enjoys outdoor sports, reading, art, and exploring Chicago and the midwest!

Kriti is a preceptor at the Data Science Institute (DSI) of the University of Chicago. She is working jointly with DSI and the City Colleges of Chicago. Prior to joining DSI, Kriti obtained her PhD in Mathematics from The Ohio State University (OSU) and Masters in Mathematics from Indian Institute of Science (IISc). She is passionate about teaching and has taught a diverse range of Mathematics courses at both OSU and IISc as a teaching assistant. She was honored with the highest teaching award at OSU, the Graduate Associate Teaching Award in 2023 and the Phil Hueneke distinguishing graduate associate teaching award in 2022. She is excited to continue to grow as an educator in her role as a preceptor and contribute to data science education. In her spare time, she enjoys running, badminton and is always open to chat!

Kelly Smalenberger is a Preceptor of Data Science at the Data Science Institute. Her focus is on data science education and creating effective learning spaces to meet a wide variety of student needs at the University of Chicago and its partnering institutions. Kelly received a Ph.D. in Applied Mathematics from the University of North Carolina at Charlotte and a certificate in Data Science and Machine Learning from MIT’s Schwarzman College of Computing. Kelly enjoys spending time with her young family, being outdoors, and running.

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.