Join us for a day of AI: Research Talks, Demos, Posters, & Panel!
As Artificial intelligence advances rapidly in areas such as data modeling and pattern recognition, researchers are increasingly applying these tools to accelerate scientific discovery. The 8th annual Michigan AI Symposium will be dedicated to exploring AI for Science. Speakers and panelists from both academia and industry will present the latest AI research on how AI is transforming fields such as biology, physics, chemistry, and climate science. This event is hosted by the Michigan Artificial Intelligence Laboratory.
Our symposium aims to bring together participants from both academia and industry who are interested in the foundations or real-life applications of artificial intelligence.
The symposium will take place on North Campus, in Stamps Auditorium in the Walgreen Drama Center with a poster session in Tishman Hall of the Bob & Betty Beyster Building
Registration
8:00 AM Registration opens (T-shirts giveaway!) Lobby – Stamps Auditorium
Welcome & Introduction to the Michigan AI Lab
8:55 AM Rada Mihalcea, Director, Michigan AI Lab
9:00 AM Arthur Lupia, Vice President for Research & Innovation
9:07 AM Danai Koutra & JJ Park, Co-Chairs, AI Symposium
Session One | Chair: Danai Koutra
9:15 AM Carla Gomes, Computing and Information Science, Cornell University
–TBD
10:15 AM Joy Hsu, Stanford University
–Building Neuro-Symbolic Multimodal Systems for Science
10:25 AM Simran Khanuja, Carnegie Mellon University
–Towards Culturally Inclusive Multimodal Systems
10:35 AM Giannas Daras, MIT
–Generative Models Wear Glasses: Learning from Imperfect Data with Ambient Diffusion
Coffee Break
10:45 AM Lobby – Stamps Auditorium
Session Two | Chair: David Jurgens
11:05 AM Alexander Rodriguez, Computer Science & Engineering, University of Michigan
–Where Equations Meet Data: Bridging AI and Scientific Models in Health
11:30 AM Vivek Gopalakrishnan, Harvard, MIT
–Augmented Vision for Surgeons (and Robots) via Patient-Specific Machine Learning Models
11:40 AM Shirley Wu, Stanford University
–Towards Collaborative and Human-centric AI Agents
11:50 AM Rebecca Lindsey, Chemical Engineering, University of Michigan
–Efficient Machine Learning and AI for Materials Research: Scalable Models for Anyone, Anywhere
12:15 PM Posters & Demos Pitch
Research Poster & Demo Session | Chairs: Serafina Kamp & Run Peng
12:30 PM Lunch in Tishman Hall. Research Posters & Demos Session in both Tishman Hall & Stamps Lobby
Session Three | Chair: JJ Park
2:00 PM Ricardo Vinuesa, Aerospace Engineering, University of Michigan
–Improving turbulence control through explainable deep learning
3:00 PM Congyue Deng, MIT
–Denoising Hamiltonian Network for Physical Reasoning
3:10 PM Mosharaf Chowdhury, University of Michigan
–Sustained Scientific Discovery Requires Energy-Optimal AI Agents
Coffee Break
3:35 PM Lobby – Stamps Auditorium
Session Four | Chair: TBD
3:55 PM Panel Discussion on AI & GenAI for Science
–Carla Gomes, Ricardo Vinuesa, JJ Park, Karthik Duraisamy
4:55 PM Closing Remarks & Awards
Sponsored by:
As Artificial intelligence advances rapidly in areas such as data modeling and pattern recognition, researchers are increasingly applying these tools to accelerate scientific discovery. The 8th annual Michigan AI Symposium will be dedicated to exploring AI for Science. Speakers and panelists from both academia and industry will present the latest AI research on how AI is transforming fields such as biology, physics, chemistry, and climate science. This event is hosted by the Michigan Artificial Intelligence Laboratory.
Our symposium aims to bring together participants from both academia and industry who are interested in the foundations or real-life applications of artificial intelligence.
The symposium will take place on North Campus, in Stamps Auditorium in the Walgreen Drama Center with a poster session in Tishman Hall of the Bob & Betty Beyster Building
Registration
8:00 AM Registration opens (T-shirts giveaway!) Lobby – Stamps Auditorium
Welcome & Introduction to the Michigan AI Lab
8:55 AM Rada Mihalcea, Director, Michigan AI Lab
9:00 AM Arthur Lupia, Vice President for Research & Innovation
9:07 AM Danai Koutra & JJ Park, Co-Chairs, AI Symposium
Session One | Chair: Danai Koutra
9:15 AM Carla Gomes, Computing and Information Science, Cornell University
–TBD
10:15 AM Joy Hsu, Stanford University
–Building Neuro-Symbolic Multimodal Systems for Science
10:25 AM Simran Khanuja, Carnegie Mellon University
–Towards Culturally Inclusive Multimodal Systems
10:35 AM Giannas Daras, MIT
–Generative Models Wear Glasses: Learning from Imperfect Data with Ambient Diffusion
Coffee Break
10:45 AM Lobby – Stamps Auditorium
Session Two | Chair: David Jurgens
11:05 AM Alexander Rodriguez, Computer Science & Engineering, University of Michigan
–Where Equations Meet Data: Bridging AI and Scientific Models in Health
11:30 AM Vivek Gopalakrishnan, Harvard, MIT
–Augmented Vision for Surgeons (and Robots) via Patient-Specific Machine Learning Models
11:40 AM Shirley Wu, Stanford University
–Towards Collaborative and Human-centric AI Agents
11:50 AM Rebecca Lindsey, Chemical Engineering, University of Michigan
–Efficient Machine Learning and AI for Materials Research: Scalable Models for Anyone, Anywhere
12:15 PM Posters & Demos Pitch
Research Poster & Demo Session | Chairs: Serafina Kamp & Run Peng
12:30 PM Lunch in Tishman Hall. Research Posters & Demos Session in both Tishman Hall & Stamps Lobby
Session Three | Chair: JJ Park
2:00 PM Ricardo Vinuesa, Aerospace Engineering, University of Michigan
–Improving turbulence control through explainable deep learning
3:00 PM Congyue Deng, MIT
–Denoising Hamiltonian Network for Physical Reasoning
3:10 PM Mosharaf Chowdhury, University of Michigan
–Sustained Scientific Discovery Requires Energy-Optimal AI Agents
Coffee Break
3:35 PM Lobby – Stamps Auditorium
Session Four | Chair: TBD
3:55 PM Panel Discussion on AI & GenAI for Science
–Carla Gomes, Ricardo Vinuesa, JJ Park, Karthik Duraisamy
4:55 PM Closing Remarks & Awards
Sponsored by:
Cost
- Attendee registration will incur a per person cost for members of the general public. Registration includes a light breakfast, lunch, and coffee breaks. Current University of Michigan students, faculty, and staff may register for the symposium for free.
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