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 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 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 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 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 is a junior studying Computer Science with minors in Mathematics and Business. 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

Stephen is a Senior studying Data Science. He is interested in Computer Vision and also the applications Data Science has in financial services. Outside of school, he likes to cook, work out and watch football. 

Sreya Gogineni, Education Committee

Sreya is a junior studying computer science and chemistry. She is especially interested in the application of computation to quantitative biology. Her hobbies include drawing, gardening, and reading comics, novels, and obscure Wikipedia pages. 

Michael Peng, Education Committee

Michael is a sophomore studying Computer Science with a potential minor in Entrepreneurship. He's interested in quantifying and analyzing data from all aspects of his life in order to optimize decision-making. Outside of data science, he enjoys creating practical apps, flying planes both virtually and in real life, and playing golf.

Isabel Wang, Corporate Committee

Iaroslav Kovalchuk, Corporate Committee

Iaroslav is a sophomore studying Data Science and Mathematical Sciences. He's most interested in machine learning and linear algebra. In his free time, he reads, watches anime and goes to the gym.


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, Ph.D., Advisor

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.