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. In her free time, she likes running and hanging out with her cat -- just not at the same time!
Jeremy Flics, VP of Projects
Jeremy is a junior studying computer science and mathematics. His interests lie at the intersection of the two disciplines, particularly combinatorics and algorithm design. Outside of MDST, Jeremy enjoys listening to music, cooking with friends, and losing chess games online.
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!
Eric Chen, VP of External Affairs
Eric is a sophomore studying computer science. He is intrigued by how data science and artificial intelligence can be used to enhance the world. As the VP of External Affairs, he is responsible for recruiting new members to join MDST. Outside of MDST, he likes socializing, hanging out with friends and playing the violin.
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.
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.
Josh Silverberg, Project Committee
Josh is a junior studying computer science with minors in math and applied statistics. Within MDST, he is interested in NLP and the ethical questions surrounding it, while outside of MDST he enjoys playing and watching hockey and being bad at Smash Bros.
Daniel Garcia, Project Committee
Daniel is a junior studying data science. His interests include finding unexpected and interesting applications of data science and computer modeling. In his free time, he enjoys reading, playing Lucas on Smash Bros, and eating oranges.
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!
Atul Gera, Social Committee
Atul is a sophomore studying computer science. He is on the MDST social committee, and is looking forward to hosting some in-person events this fall. He's also a peer advisor in MRADS and member of the ESG sustainability committee.
Vedant Iyer, Social Committee
Vedant is a junior studying data science and planning on minoring in business. His goal on the social committee is to engage other members with bonding events to bring MDST closer. Outside of MDST, he is the Curriculum Development Lead for HackBlue, and in his free time he is an avid sports fan.
Oliver Gao, Education Committee
Oliver is a sophomore studying data science. He hopes to help MDST become a fun place for people to learn about the many applications of data science. Outside of data science, Oliver is interested in green technology, running, biking, and eating oranges.
Radi Akbar, Education Committee
Radi is a senior who's studying economics and minoring in math and statistics. He's interested in the application of data science to the field of economics. Outside of data science, he loves to binge watch TV shows, movies, play video games, and swimming.
Jiamin Yang, Education Committee
Jiamin is a senior studying data science. She enjoys her time in MDST and is looking forward to joining more interesting data-related projects. Also, she is so interested in traveling, flower arrangement and coffee!
William Matthias, Education Committee
William is a sophomore studying computer science with a minor in math. He's interested in using machine learning for computer vision and image quality, among other things. Some of his hobbies include baking, hiking/camping, and plants.
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.