U-M Annual Data Science & AI Summit 2022

Nov. 14-15, 2022
Rackham Building, 915 E Washington St, Ann Arbor

About the 2022 Data Science and AI Summit

The annual Summit (previously known as the annual Symposium) is the largest annual data science and AI event on campus. The event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members). 


Monday, November 14

9:00 am: Welcome Remarks – Dr. H. V. Jagadish (Edgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor of Computer Science and Engineering; MIDAS Director)


9:10 am: Keynote: Advancing Discovery and Application in Health Data Science: An Editor’s Perspective – Dr. Suzanne Bakken (Professor of Biomedical Informatics and Alumni Professor of the School of Nursing, Columbia University; Editor-in-Chief, Journal of the American Medical Informatics Association)


10:30 am: Program Kick-Off –  Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a Schmidt Futures Program. This new campus-wide program will train 60 postdocs in the next six years and, with the postdoc program at the core, build momentum for the campus research community and external collaborators to use AI methods for breakthroughs in science and engineering research.

  • Program Introduction, H.V. Jagadish, and Ambuj Tewari and Paul Zimmerman – Curriculum and Reinforcement Learning for Molecular Conformer Sampling: RECORDING, SLIDES
  • Jacinta Beehner – The AI Forest: Using deep learning to track wild monkeys: RECORDING, SLIDES
  • Kira Barton – Integration of Artificial Intelligence in Manufacturing Systems: RECORDING,  SLIDES
  • Judy Jin and Raed Al-Kontar – Data Analytics for the Internet of Things: RECORDING, SLIDES
  • Short-format Lightning Talks and Session Summary, William Currie: RECORDING,  SLIDES

12:20 pm: Lunch and Poster Session Showcasing a wide range of data science and AI research projects and grassroots data science and AI organizations

2:00 pm: Research Talks Session 1 U-M faculty members’ research visions.


4:00 pm: Showcase of U-M data science and AI research organizations


Session Chair:
  • Jing Liu (MIDAS Managing Director; Schmidt AI in Science Program co-Director)
  • Michigan AI Lab Rada Mihalcea, Janice M Jenkins Collegiate Professor of Computer Science and Engineering and Professor of Electrical Engineering and Computer Science
  • E-Health and Artificial Intelligence Akbar Waljee, Professor of Internal Medicine, Medical School Henrike Florusbosch, Program Manager, Medical School
  • University of Michigan Software and Data Carpentries Patrick Schloss, Program Director of Microbiology and Immunology AP&A, Frederick G Novy Collegiate Professor of Microbiome Research and Professor of Microbiology and Immunology, Medical School
  • Michigan Institute for Computational Discovery and Engineering Krishna Garikipati, Professor of Mechanical Engineering, Center Director, Michigan Institute for Computational Discovery and Engineering Research, and Professor of Mathematics Karthik Duraisamy, Professor of Aerospace Engineering
  • University of Michigan Precision Health Sebastian Zoellner, John G Searle Associate Professor of Biostatistics, Professor of Biostatistics, and Professor of Psychiatry, Medical School
  • Consulting for Statistics, Computing and Analytics Research Kerby Shedden, Professor of Statistics, Professor of Biostatistics, and Center Director, Statistical Consultation and Research
  • Bold Challenges Dawn Tilbury, Associate Vice President for Research-Convergence Science, Ronald D and Regina C McNeil Department Chair of Robotics, Herrick Professor of Engineering, Professor of Robotics, Professor of Mechanical Engineering, and Professor of Electrical Engineering and Computer Science Arthur Lupia, Gerald R Ford Distinguished University Professor of Political Science, Professor of Political Science, Research Professor, Center for Political Studies, Institute for Social Research and Center Director, UMOR Office of the Vice President for Research
  • Center for Ethics, Society, and Computing Sophia Brueckner, Associate Professor of Art and Design, Associate Professor of Information, and Associate Professor of Digital Studies Institute
  • Digital Studies Institute Germaine Halegoua, John D Evans Development Professor, Associate Professor of Communication and Media, Associate Professor in the Digital Studies Institute and Director Graduate Studies, Digital Studies Institute
  • Science, Technology and Public Policy Program Molly Kleinman, Assistant Director, Ford School of Public Policy

5:30 pm: Reception and Networking – All attendees are invited. Come and talk with U-M data science and AI organizations, researchers, and students, as well as industry and public-sector partners.

Tuesday, November 15

9:00 am: Keynote: Data Science and American Politics Mr. David Shor (Head of Data Science, OpenLabs R&D)


10:00 am: Research Talks Session 2 U-M faculty members’ research visions.


11:35 am: Propelling Original Data Science (PODS) Grant Awards Showcase Each year, MIDAS funds a number of innovative and high-impact data science and AI research projects. The project teams will give the audience an overview of their work.


12:35 pm: Poster Awards Announcement (posters with students as first authors are entered automatically in the poster competition for cash awards)

12:40 pm: Closing Remarks – Dr. H. V. Jagadish (Edgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor of Computer Science and Engineering; MIDAS Director)

12:45 pm: Light Lunch and Networking – All attendees invited.

Selected Organizations Represented at the 2022 Summit

  • Advanced Research Computing
  • Aerospace Engineering
  • AI Lab
  • Anesthesiology
  • Anthropology
  • Applied and Interdisciplinary Mathematics
  • Astronomy
  • Behavioral Sciences
  • Biomedical Engineering
  • Biostatistics
  • Bold Challenges
  • Business
  • Chemical Engineering
  • Chemistry
  • Climate and Space Sciences and Engineering
  • Communication and Media
  • Computational Discovery and Engineering
  • Computational Medicine and Bioinformatics
  • Computer Science and Engineering
  • Consulting for Statistics, Computing and Analytics Research
  • Dentistry
  • Digital Studies
  • E-Health and Artificial Intelligence
  • Ecology and Evolutionary Biology
  • Economics
  • Electrical Engineering and Computer Science
  • Emergency Medicine
  • Environment and Sustainability
  • Epidemiology
  • Ethics, Society, and Computing
  • Global REACH
  • Government Relations
  • Health Management and Policy
  • Industrial and Manufacturing Systems Engineering
  • Industrial and Operations Engineering
  • Information
  • Information and Technology Services
  • Innovation Partnerships
  • Inter-university Consortium for Political and Social Research
  • Internal Medicine
  • Kinesiology
  • Lab Animal Medicine
  • Law
  • Learning Health Sciences
  • Library
  • Life Sciences
  • Mathematics
  • Mechanical Engineering
  • Michigan Data Collaborative
  • Microbiology and Immunology
  • Museum of Art
  • Nephrology
  • Neurology
  • Neuroscience
  • Nuclear Engineering and Radiological Sciences
  • Nursing
  • Obstetrics & Gynecology
  • Ophthalmology
  • Organizational Studies
  • Pathology
  • Pediatrics
  • Pharmacy
  • Physics
  • Political Science
  • Precision Health
  • Psychiatry
  • Psychology
  • Public Policy
  • Radiation Oncology
  • Radiology
  • Robotics
  • Science, Technology and Public Policy
  • Social Research
  • Sociology
  • Software and Data Carpentries
  • Statistics
  • Survey Research
  • Taubman College
  • Transportation Research
  • Altair
  • Amazon Web Services
  • Amgen
  • Amnesty International
  • Ann Arbor SPARK
  • Arbor Research Collaborative for Health
  • Arkansas Center for Health Improvement
  • Brown University
  • City of Detroit
  • Clemson University
  • Detroit Land Bank
  • Dickinson College
  • Ford Motor Company
  • General Dynamics
  • General Motors
  • Gongos
  • Groundspeed Analytics
  • Henry Ford Health
  • Jackson National Life
  • JointSpace
  • Kettering University
  • KLA
  • Level X Talent
  • Little Caesars Enterprises
  • Lucas/McIntosh Communications
  • Luna Innovations
  • Maxar
  • Merit Network
  • Michigan State University
  • MiddleGround Capital
  • Navv Systems
  • PathwaysGI
  • PPG Industries
  • Publicis Groupe
  • Rocket Companies
  • SalesPage Technologies
  • São Paulo State University
  • Save the Children International
  • State of Michigan
  • Tempus
  • The Brattle Group
  • Tinder
  • University of Texas at Austin
  • US Army Ground Vehicle Systems Center
  • Voise
  • Wacker Chemical Corporation
  • Washtenaw Community College
  • WestCap
  • William Beaumont Hospital
  • Yazaki North America

Program commitee

Lia Corrales


Walter Dempsey


Ben Green

Public Policy

Jing Liu


Josh Pasek

Josh Pasek

Communication and Media

Shane Redman


Karandeep Singh

Learning Health Sciences

Lu Wang

Lu Wang

Computer Science and Engineering

Thank you to our Sponsors