WESLEY TIAN, PRESIDENT
Wesley is a senior dual-majoring in computer science and data science. Previously, he's worked on applying machine learning to healthcare. He is currently doing research part-time at conversational AI startup Clinc, Inc. He is very interested in reinforcement learning. Outside of school and work, he enjoys running, meditating, and writing, in that order.
JONATHAN STROUD, VP OF PROJECTS, FOUNDER
Jonathan is a first year Ph.D. student in the department of Computer Science and Engineering (CSE). His research interests are in Machine Learning and Computer Vision, including deep learning, structured prediction, and knowledge representation.
MUKAI WANG, VP OF EDUCATION
Mukai is a senior majoring in data science engineering. He transferred to Michigan from Shanghai China in 2017. MDST opened his mind and played a critical role in leading him from novice to expert in data science. As the new VP of Education, he is responsible for providing valuable learning resources and leading tutorial series for beginners.
SETH SAPERSTEIN, VP OF COMMUNICATIONS
Seth is a senior studying data science, economics, and financial mathematics. His interests include game theory in machine learning, topological data analysis, and mobile app development.
CORY LABAN, VP OF RECRUITMENT
Cory is a sophomore studying CSE and minoring in statistics. He is newly passionate about data science and data for social good. He will be hosting MDST bonding activities like pizza parties! trivia nights! and study table hangouts! Newcomers should talk to him about getting involved in MDST and learning data science basics.
ERIS LLANGOS, VP OF FINANCE
Eris is a senior studying financial mathematics and data science. He's a huge sports nerd and is planning on pursuing a career in investment banking. Eris is responsible for funding all arrangements to planned MDST events and finding new opportunities that interest all MDST members.
JENNA WIENS, PH.D., FACULTY CO-ADVISOR
Jenna Wiens is an Assistant Professor in Computer Science and Engineering (CSE) at the University of Michigan. 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 clinical data into actionable knowledge.
ERIC SCHWARTZ, PH.D., FACULTY CO-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.
Danai Koutra, PH.D., FACULTY CO-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. Applications of her work span from analysis of social, collaboration and web networks to brain connectivity graphs.