MIDAS helps build a strong network for data science and AI student groups on our campus, through working with the MIDAS Student Organizations Council. This group represents students in a broad spectrum of schools, colleges, programs, majors, and degree levels, embracing both undergraduate and graduate students. The council shares research and career opportunities, promotes the student organizations’ events, and collaborate and share resources among the organizations. The council will also design impactful data science and AI education activities and research programming, including events that promote diversity and inclusion within the data science and AI fields.
As members of the Council, these groups will also liaise and coordinate with MIDAS, connect with MIDAS affiliate faculty, industry contacts, and more. We cordially invite all data science and AI student groups on campus to connect with MIDAS and join in making a significant impact on our university’s data science and AI landscape. For inquiries, please contact Beth Uberseder, MIDAS Research Manager (ubersbe@umich.edu).
Representatives
- Karan Desai, Co-Lead, M2 UMMS
- Akhil Kondepudi, Co-Lead, M2 UMMS MD-PhD
- Ellie Bowen, Co-Lead, M2 UMMS
About
AI in Medicine (AIM) is the University of Michigan Medical School’s home for medical students interested in engaging with or learning more about technology, machine learning and artificial intelligence (AI) in medicine.
Representatives
- Ashley Moulton, Co-Lead (Undergraduate, LSA Data Science, Program in the Environment)
- Lauren May, Co-Lead (Undergraduate, LSA Data Science, Program in the Environment)
- Priya Shah, Social Chair (Undergraduate, Information Analysis)
Representatives
- Christopher Pleman, Co-President, MADSA
- Kolbe Sussman, MADS
About
The University of Michigan School of Information’s (UMSI) Master of Applied Data Science (MADS) degree program is taught by top UMSI faculty well known as leaders in the field. Our rigorous admissions process ensures you will be learning among a close-knit community of peers from a variety of backgrounds.
Representatives
- Meera Kumar, President (Undergraduate, CoE Computer Science)
- Angela Li, Officer (Undergraduate, CoE Computer Science)
- Lucas Tam, Officer (Undergraduate, CoE Computer Science)
About
the Michigan AI Safety Initiative (MAISI) is a student group dedicated to positively shaping the development of advanced AI, with a focus on preventing catastrophes.
Representatives
- Amelia Weyhing, President (Undergraduate, CoE Data Science)
- Vincent Wu, VP External (Undergraduate, LSA Data Science and Actuarial Mathematics)
- Jonathon Rosevelt, VP Internal (Undergraduate, CoE Data Science)
About
MDST is dedicated to educating students about the practical applications of data science. This means we work on projects, hold workshops, and also have a couple of social events throughout the semester.
Representatives
- Ashley Philip, Co-Executive Director (Undergraduate, CoE Computer Science)
- Sydney Finkelstein, Co-Executive Director (Undergraduate, Information Analysis)
- Ashley Moulton, Outreach Director (Undergraduate, LSA, Data Science & Environment)
About
Collaborating on data-driven projects, Michigan EcoData is a new vibrant organization at the University of Michigan that works on creating data driven and multidisciplinary solutions to ecological issues. Our philosophy as an organization is oriented towards identifying gaps in knowledge in order to enact change that benefits the ecological well-being of communities and ecosystems. EcoData members work in small groups and work as a team to accomplish project goals. We foster an incredibly open environment, where members from a variety of disciplines can come together to work on project teams or start their own.
Representatives
- Michael Moffatt, Co-President, (Undergraduate, CoE Computer Science)
- Andrew Carlson, Finance (Undergraduate, LSA Computer Science)
- Hemil Shah, Industry Engagement, (Undergraduate, Computer Science and Statistics)
About
The Michigan Student Artificial Intelligence Lab (MSAIL) is a student organization for discussion of artificial intelligence and machine learning. We are a community in which motivated students read and discuss modern machine learning literature together in weekly discussion groups. We welcome students of all backgrounds and abilities.
Representatives
- Jackson Leb, Advisor (Undergraduate, LSA, BCN and Computer Science)
- Kiana Pandit, President (Undergraduate, LSA, Cognitive Science)
- Mason Miller, VP of Recruitment (Undergraduate, LSA Computer Science)
About
OpenMI’s purpose is to educate students at UofM on Machine Learning and Artificial Intelligence, as well as give our members practical experiences designing and programming these models and algorithms.
Representatives
- Kevin Yang, MIDAS Chair (PhD student, School of Medicine, Bioinformatics)
- Will Tackett, Executive Board Member (Master’s student, School of Public Health)
About
STATCOM (Statistics in the Community) at the University of Michigan is a community outreach program provided by graduate students in the Departments of Biostatistics, Statistics, and the Program for Survey Methodology at University of Michigan. The program offers the expertise of statistics graduate students, free of charge, to non-profit governmental and community organizations in the areas of data organization, analysis, and interpretation. MIDAS has partnered with STATCOM in the past by hosting the Data for Public Good Symposium, a full day event that featured presentations and workshops from UM students, faculty, and community and industry partners on data science projects designed to contribute to the betterment of society.
Representatives
- Lauren May, Co-President (Undergraduate, LSA Data Science)
- Pranavi Pratapa, VP of Events (Undergraduate, LSA Mathematics and Computer Science)
About
Women in Mathematics seeks to provide academic, career, and social support for women and gender minorities studying or interested in mathematics.