Kyle Chard is a Research Associate Professor in the Department of Computer Science at the University of Chicago and Argonne National Laboratory. He has been Program Director of the Data & Computing Summer Lab since its first iteration under CDAC in 2019, and previously oversaw the Summer Internship Program ran by the former Computation Institute.

He received his Ph.D. in Computer Science from Victoria University of Wellington in 2011. He co-leads the Globus Labs research group which focuses on a broad range of research problems in data-intensive computing and research data management. He currently leads projects related to parallel programming in Python, scientific reproducibility, and elastic and cost-aware use of cloud infrastructure.

Mindi has experience managing, sourcing and scoping a portfolio of data science experiential learning partnerships across social impact organizations, corporate, civic and government entities. Mindi managed earlier iterations of our work with the 11th Hour Project at the University of San Francisco where she served as the Senior Director of Strategy and Operations of the Data Institute. Mindi is a member (inactive) of the California and Illinois bars and received her JD from University of California College of the Law, San Francisco and her BS, Political Science from Santa Clara University.

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.

Launa is a software engineer II responsible for executing Data Clinic projects with student teams in conjunction with the 11th Hour Project, as well as internal projects for the DSI. She received her bachelor’s degree in the humanities at Princeton University and her master’s degree in Computational Analysis and Public Policy at the University of Chicago. Prior to joining the University, she worked as an adult education instructor and then as a software consultant at a Microsoft partner company.

Tim Hannifan is Assistant Clinic Director for the Data Science Institute at the University of Chicago. He is responsible for managing the execution of an experiential learning program for University students, recruiting and retaining data science partner organizations, and mentoring student teams to implement data science solutions for government, industry, and social impact organizations. Prior to joining the DSI, Tim worked on data science initiatives at Mathematica Policy Research and The World Bank. He holds a MS in Computational Analysis and Public Policy and a BA in Economics from the University of Chicago.

Amanda Jotte is an Assistant Instructional Professor of Statistics and Data Science at the University of Chicago. Previously, she was a Preceptor in Data Science at the University of Chicago’s Data Science Institute. She received her PhD in Computational and Data Sciences from Washington University in St. Louis, where she also earned a Master’s degree in Data Analytics and Statistics. Her research interests involve the fair, accountable, and transparent use of AI for social good. In becoming an instructor, her interests have broadened to best practices for teaching data science, and in particular, data science ethics. Beyond research and instruction, she is interested in curriculum and program development for data science as it matures as an emerging field.

Trevor is a Software Engineer II at the DSI. He helps social impact organizations to enhance their operations, research, and communication by utilizing software engineering and data science tools. His work focuses on agriculture, human rights, energy, and marine technology. Trevor also mentors student teams in the Data Science Clinic. Before DSI, Trevor worked as a research assistant at Argonne National Laboratory. Trevor has a BS in Computer Science from MIT.

I am a third-year PhD student in the Department of Statistics at the University of Chicago. I am broadly interested in causal inference, random graphs, representation learning, and differential privacy. I am very fortunate to be advised by Professor Victor Veitch. Previously, I completed my undergraduate studies at Duke University, where I double majored in mathematics and statistical science, and pursued research opportunities in probability theory, statistical learning theory, and mathematical biology. Prior to Duke, I was born and raised in Bucharest, Romania, where I nurtured my passion for finding rigorous proofs and explanations, by participating in numerous math contests and olympiads.

I am first year Ph.D. student in the Computer Sciences Department where I am working to develop technologies that facilitate human-computer interactions such as novel coding environments, video games, and teacher facilitation guides. I am particularly passionate about tools that make coding more accessible to young students.

Sabina worked on a Community Data Fellows project for Blue Ocean Gear.

Weijia He is a fifth-year Ph.D. candidate at the University of Chicago, advised by Professor Blase Ur. Before that, she received her bachelor’s degree in Information Security from Shanghai Jiao Tong University. Her research interests mainly cover security and privacy issues in ubiquitous computing systems, aiming to bridge the gap between existing security systems and real-world users’ challenges. She has published papers at conferences such as USENIX Security, IMWUT (UbiComp), ICSE, EuroS&P, and CHI.

Anna Harbluk Lorimer is a first year Computer Science PhD student working on internet censorship circumvention and privacy. She once won 60 Montréal-style bagels at a horse whispering contest.

Derrick is a master’s student in computer science at the University of Chicago working in an RNA epigenetics lab. Previously, he studied neuroscience and philosophy at the same school and worked in a systems neuro lab using brain computer interfaces.