David Uminsky joined the University of Chicago in September 2020 as a senior research associate and Executive Director of Data Science. He was previously an associate professor of Mathematics and Executive Director of the Data Institute at University of San Francisco (USF). His research interests are in machine learning, signal processing, pattern formation, and dynamical systems.  David is an associate editor of the Harvard Data Science Review.  He was selected in 2015 by the National Academy of Sciences as a Kavli Frontiers of Science Fellow. He is also the founding Director of the BS in Data Science at USF and served as Director of the MS in Data Science program from 2014-2019. During the summer of 2018, David served as the Director of Research for the Mathematical Science Research Institute Undergrad Program on the topic of Mathematical Data Science.

Before joining USF he was a combined NSF and UC President’s Fellow at UCLA, where he was awarded the Chancellor’s Award for outstanding postdoctoral research. He holds a Ph.D. in Mathematics from Boston University and a BS in Mathematics from Harvey Mudd College.

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!

Susan Paykin is the Senior Associate Director, Community-Centered Data Science, at the DSI, where she oversees social impact and strategic partnership initiatives across the organization’s research, education, and engagement. She is also the Program Lead of the Open Spatial Lab where she leads geospatial data science projects and partner engagement. Susan was previously the Research Manager at the Center for Spatial Data Science at UChicago and has served in leadership roles for environmental and social impact organizations. She holds a Master in Public Policy (M.P.P) from the Harris School of Public Policy at University of Chicago and a B.A. from Brandeis University.

Evelyn Campbell is the Program Manger for Community-Centered Data Science at the Data Science Institute. She oversees and implements the DSI’s educational outreach programs, such as Data4All and the Data Science for Social Impact Research Experience. She was previously a Data Science Preceptor where she taught data science curriculum 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 is an advocate for educational access and expanding representation in data science and other STEM fields.