Renee Li, President
Renee is a senior studying data science and electrical engineering. She likes programming and playing with (well, breaking) electronics, and is interested in how we can leverage technology and the data we get from it to solve real-world problems.
Nishka Muzumdar, VP of Education
Nishka is a junior studying data science. As VP of Education, her goal is to create workshops/tutorials that can be useful for all MDST members regardless of their skill level. Outside of MDST, she loves to dance and spend her money trying out new boba places!
Stuart Coles, VP of Internal Affairs
Stuart is a senior, dual-enrolled in data science through LSA and music through SMTD. He's a classically trained pianist, but his real passion is production of electronic dance music. He's also passionate about how data can be used to fill holes in our understanding of the intersection of music and language.
Larry Wong, VP of Finance
Larry is a junior studying computer science. He is responsible for budgeting and funding MDST activities. His interests include space exploration and computer vision. In his free time, he enjoys messing with Linux, playing open-world games, and making web apps.
Josh Silverberg, VP of Projects
Josh is a junior studying computer science, math, and applied stats. At MDST he is responsible for preparing and coordinating projects and project leaders throughout the course of the semester. He is interested in NLP and sequential prediction ML, and enjoys playing hockey and working on personal projects.
Cindy Gu, Project Committee
Cindy is a senior studying computer science and statistics. Her interests include sports analytics and working on startups. In her free time, she enjoys watching and playing sports, cooking, and playing the piano.
Casper Guo, Project Committee
Casper is a sophomore studying Data Science with minors in math and linguistics. Within MDST, he's most interested in working on sports analytics and NLP project. He is an avid soccer fan but has recently gone down the F1 rabbit hole. He challenges everyone to a game of Go with him.
Jacob Richman, Project Committee
Kedar Tripathy, Project Committee
Kedar is a graduate student studying data science and machine learning. Apart from exploring the emerging uses of data science in business intelligence applications, he spends his time playing soccer, hiking, and go-karting.
Mitchell Chang, Social Committee
Tiffany Tan, Social Committee
Tiffany is a junior studying Data Science and Computer Science. In her free time, she likes to read, watch sitcoms, and exercise/hike. She is excited to help plan social events for MDST this year!
Michael Peng, Education Committee
Tom Sherman, Education Committee
Tom is sophomore studying Computer Science. His interests include data visualization and machine learning. If you don't catch him coding, you may find him playing drum set, biking around campus, or on the tennis court. He's very excited to help with the MDST education committee and help others become passionate about data science.
Yoon Jung (Alex) Ji, Corporate Committee
Justin Paul, Corporate Committee
Justin is a freshman studying computer science and statistics. He is most interested in learning how machines can perform “human” tasks. In his free time, he plays chess, tennis, and the trumpet.
Julia Spilkin, Corporate Committee
I am a sophomore majoring in data science. I have had a great time working on MDST projects and can't wait for more. Outside of data science, I enjoy reading, baking, and hanging out with friends.
Jenna Wiens, Ph.D., Advisor
Jenna Wiens is a Morris Wellman Assistant Professor of Computer Science and Engineering (CSE) at the University of Michigan in Ann Arbor. She currently heads the Machine Learning for Data-Driven Decisions (MLD3) research group. Her primary research interests lie at the intersection of machine learning and healthcare. The overarching goal of her research agenda is to develop the computational methods needed to help organize, process, and transform data into actionable knowledge. She received her PhD in 2014 from MIT.
Eric Schwartz, Ph.D., Advisor
Professor Eric Schwartz's expertise focuses on predicting customer behavior, understanding its drivers, and examining how firms actively manage their customer relationships through interactive marketing. His research in customer analytics stretches managerial applications, including online display advertising, email marketing, video consumption, and word-of-mouth. He earned his Ph.D. in Marketing from the Wharton School and a B.A. in Mathematics and Hispanic Studies, all from the University of Pennsylvania.
Danai Koutra, Ph.D., Advisor
Danai Koutra is an Assistant Professor in Computer Science and Engineering at University of Michigan, where she leads the Graph Exploration and Mining at Scale (GEMS) Lab. Her research interests include large-scale graph mining, analysis of multi-source network data, graph summarization, similarity and matching, and anomaly detection. Danai's research has been applied mainly to social, collaboration and web networks, as well as brain connectivity graphs. She earned her Ph.D. and M.S. in Computer Science from CMU in 2015 and her diploma in Electrical and Computer Engineering at the National Technical University of Athens in 2010.
Yang Chen, Ph.D., Advisor
Yang Chen received her Ph.D. (2017) in Statistics from Harvard University and joined the University of Michigan as an Assistant Professor of Statistics and Research Assistant Professor at the Michigan Institute of Data Science (MIDAS). She received her B.A. in Mathematics and Applied Mathematics from the University of Science and Technology of China. Research interests include computational algorithms in statistical inference and applied statistics in the field of biology and astronomy.
Jonathan Terhorst received his Ph.D. (2017) in Statistics from UC Berkeley and joined the University of Michigan as an Assistant Professor of Statistics. He is broadly interested in applications of statistics and machine learning to problems in biology, with a particular emphasis on statistical and population genetics.