The Michigan Data Science Team (MDST) is a club at the University of Michigan which brings together students of various disciplines through competitions structured around finding patterns in data. Sometimes we compete in public competitions online and sometimes we compete in challenges we create for ourselves. We also partner with other organizations to try and help people with their data problems. Sometimes we even make a challenge out of that!
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.
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.
Danai Koutra, Ph.D., Faculty Mentor
Danai Koutra is an Assistant Professor in Computer Science and Engineering (CSE) at the University of Michigan. Danai’s research focuses mathematically formulating interesting problems for exploring large-scale networks, and solving them with fast, scalable and principled methods. Applications of her work include exploration of scientific data, anomaly detection, and re-identification.
Jonathan Stroud, Organizational Chair, 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.
Arya Farahi, Team Captain A
Arya obtained his undergraduate degree in Mechanical Engineering and Physics. He is currently seeking a PhD in Physics at the University of Michigan – Ann Arbor. His main area of research is Clusters of Galaxies and Large-Scale Structures in the Universe, with emphasis on multiwavelength clusters detection algorithms. He is working on large-scale simulations to characterizing X-Ray and optical cluster finders. As Team Captain A, Arya helps in leading high-impact projects and leads a small group of advanced team members on public Kaggle challenges.
Josh Gardner, Team Captain B
Michael Kovalcik, Communications Chair
Michael is an undergraduate at the University of Michigan, pursuing a degree in Computer Science Engineering. Michael plans to pursue a career in the intersection of artificial intelligence and mobile healthcare. As Communications Chair, Michael gets to spread awareness of member accomplishments through blog posts and facilitate industrial and academic relationships. He also manages the website, email lists, and social accounts, responding to any inquiries across those mediums.
Allie Cell, Recruitment Chair
Allie is a senior studying data science through the College of Engineering. On campus, she is also a member of Phi Sigma Rho, the club running team (MRun), and the Statistics Online Computational Resource Analytical Toolbox (SOCRAT) Multidisciplinary Design Project. As Recruitment Chair, Allie leads efforts to recruit and engage new members, pair new members to projects, and retain members by ensuring MDST is a socially as well as intellectually stimulating organization.
Jared Webb, Data Manager
Jared Webb obtained his undergraduate degree in Applied Math and is currently seeking his Ph.D. in Applied Math, both from Brigham Young University. As a mathematician, Jared is interested in the theoretical properties of neural networks. As a data scientist, Jared aims to use machine learning as tool to help solve social problems.