Josh Silverberg, President
Josh is a senior studying computer science and math. He is interested in NLP and embedding models, as well as how to effectively engineer ML systems to solve real-life problems. Outside of school, he enjoys playing hockey and working on personal projects.
Casper Guo, VP of Education
Casper is a junior studying Data Science with minors in Math and Linguistics. Within MDST, he's most interested in working on sports analytics and NLP projects. 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.
Tiffany Tan, VP of Internal Affairs
Tiffany is a senior 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!
Lucy Duan, VP of External Affairs
Lucy is a senior studying Computer Science and Biopsychology, Cognition, and Neuroscience. She is interested in the intersection of computation and neuroscience. In her free time, she likes to write, paint, and work out.
Justin Paul, VP of Finance
Justin is a sophomore 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.
Sachchit Kunichetty, VP of Projects
Sachchit is a junior studying Computer Science with a minor in Mathematics. As Vice President of Projects, he is responsible for managing MDST's semesterly projects and advising project leaders. Apart from an interest in Computer Vision and ML Engineering, he spends his free time watching movies and cheering on the Mavs.
Sunskriti Paranjape, Project Committee
Hannah Shu, Project Committee
Hasan Zengin, Social Committee
Julia Spilkin, Social 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.
Stephen Blough, Education Committee
Sreya Gogineni, Education Committee
Michael Peng, Education Committee
Isabel Wang, Corporate Committee
Iaroslav Kovalchuk, Corporate Committee
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.