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 Do-Hee Morsman ([email protected]), MIDAS Assistant Director.
Representatives
- Karan Desai, Co-President (Medical Student, UMMS, MD)
- Akhil Kondepudi, Co-President (Medical Student, UMMS, MD)
Representatives
- Ashley Moulton, Executive Board Representative (Undergraduate Senior, LSA, Data Science & PitE)
- Ananthu Nair, Co-Lead (Undergraduate Junior, School of Information, Information Analysis)
- Andrew Hou (Undergraduate Sophomore, LSA)
Representatives
- Thomas Lezcano, Co-President (Undergraduate Junior, School of Information, Information Analysis)
- Nico Fry, Co-President (Undergraduate Junior, Ford School, Public Policy)
Representatives
- Christopher Pleman, Co-President (Second Year MADS Student)
- Kolbe Sussman, ELO Officer (Third Year MADS Student)
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
- Ena Mestry, President (Undergraduate, CoE Data Science)
- Alan Tan, Co-President (Undergraduate, LSA Philosophy and Computer Science)
Representatives
- Russell Day, President (Undergraduate, LSA)
About
The Michigan Data Science Team (MDST) is the largest data science club at the University of Michigan, empowering students with the skills and experience needed for data-driven careers. Through hands-on team projects, workshops, guest speakers, and community events, MDST provides opportunities for students of all backgrounds to explore data science and connect with the broader U-M and industry community. All U-M students are welcome to join.
Representatives
- Ashley Moulton, Co-President (Undergraduate Senior, LSA, Data Science & PitE)
- Tisya Mukherjee, Co-President (Undergraduate Senior, Engineering, Computer Science)
- Andrew Hou (Undergraduate Sophomore, LSA)
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
- Mitchell Fuchs, President (Undergraduate Senior, LSA Actuarial Mathematics)
- Nikhil Kori, Actuarial Exam Chair (Undergraduate Senior, LSA Actuarial Mathematics)
Representatives
- Jiatong Liang, MIDAS Chair (Third Year PhD, LSA Department of Statistics, Statistics)
- Sophia Luo, President (Third Year PhD, SPH, Biostatistics)
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.