AI in Research Symposium 2026

March 30, 8:30 AM - March 31, 2026, 4:00 PM

Rackham Building
915 E. Washington St.
Ann Arbor, MI 48109-1070

Registration is FREE for U-M faculty/staff, students, and alumni; $200 for non U-M affiliates

Register

Schedule subject to change.

Day 1 – Monday, March 30

9:00 AM – 9:20 AM

Welcome Remarks & MIDAS Introduction

Arthur Lupia, Vice President for Research and Innovation, University of Michigan
Jing Liu, Executive Director, MIDAS

9:20 AM – 10:20 AM

Keynote Speaker – Jun Li, Founding Chair of the Department of Molecular Genetics and Genome Sciences, University of Oklahoma Health Science Center

Scientific Culture in the Age of Generative Intelligence

Session Chair: Brian Athey, Michael Savageau Collegiate Professor, Chair, Department of Computational Medicine and Bioinformatics

45 min + 15 min Q&A

10:20 AM – 10:35 AM

Break

10:35 AM – 11:35 AM

AI Journey Talks

Session Chair: Nathan Fox, AI Scientist, MIDAS

10:35 AM

Intelligent Histology: Real-Time AI for Intraoperative Brain Tumor Diagnosis and Margin Assessment

Presented by Todd Hollon

10:50 AM

Beyond the Black Box: Generative AI and Synthetic Data for Trustworthy Medical Image Analysis

Presented by Mathias Wilms

11:05 AM

BacterAI: Self-driving microbiology labs at scale

Presented by Benjamin David

11:20 AM

Real-time AI-based Health Monitoring of ICU Patients Using STREAM

Presented by Ali Namvar

11:35 AM – 1:05 PM

Lunch, Networking, & Poster Session

Poster Session

📍Assembly Hall, Rackham Building

Meet the AI Sandbox @ the AI in Research Symposium (AIIR)!

Attendees are invited to meet members of the MIDAS Research team in an informal, drop-in setting. The session will feature brief demonstrations of applied AI tools across a range of research domains. Participants will also have the opportunity to discuss their own ideas and challenges with the team.

An intake form will be available for those interested in scheduling follow-up consultations or exploring potential collaborations.

📍 West Conference Room (4th floor), Rackham Building

1:05 PM – 2:05 PM

Keynote Speaker – Venkat Viswanathan, Associate Professor of Aerospace Engineering, College of Engineering, University of Michigan

Foundation Models for Discovery and Exploration in Chemical Space

Session Chair: Dani Jones, Associate Research Scientist, Data Science and Modeling

45 min + 15 min Q&A

2:05 PM – 3:05 PM

AI Journey Talks

Session Chair: Dani Jones, Associate Research Scientist, Data Science and Modeling

2:05 PM

Accelerating Drug Discovery Through AI-Driven Molecular Simulation

Presented by Paige Bowling

2:20 PM

Interpretable and Decision-Making Artificial Intelligence for Catalyst and Materials Discovery

Presented by Bryan Goldsmith

2:35 PM

AI-Driven optimization for decision-relevant power grid operations

Presented by Rabab Haider

2:50 PM

AgriTwin: An Attention-Based Multimodal Deep Learning Framework for Simultaneous Yield and Price Forecasting in U.S. Specialty Crops

Presented by Vijay Giri

3:05 PM – 4:05 PM

Conversations Across Cultures Panel

Moderator: Jing Liu, Executive Director, MIDAS

Panelists:

Annie Hsieh, Associate Professor of Music Theory, Carnegie Mellon University and Composer
Jun Li, Founding Chair of the Department of Molecular Genetics and Genome Sciences, University of Oklahoma Health Science Center
Vukosi Marivate, Professor of Computer Science and ABSA UP Chair of Data Science at the University of Pretoria
Venkat Viswanathan, Associate Professor of Aerospace Engineering, College of Engineering, University of Michigan

Day 2 – Tuesday, March 31

9:00 AM – 10:00 AM

Keynote Speaker Annie Hsieh, Associate Professor of Music Theory, Carnegie Mellon University and Composer

Finding the Human Connection in the Orchestration of Senses

Session Chair: Shahana Chumki, Research Manager, MIDAS

45 min + 15 min Q&A

10:00 AM – 10:10 AM

Break

10:10 AM – 11:10 AM

AI Journey Talks

Session Chair: Shahana Chumki, Research Manager, MIDAS

10:10 AM

Machine Listening to Music Across the Globe

Presented by David Sears

10:25 AM

A Counterfactual AI Framework to Quantify Rhetorical Style and Its Impact in Scientific Communication

Presented by Jingyi Qiu

10:40 AM

AI-powered Dataset Curation, Processing, and Rehearsal Interfaces for A Cappella

Presented by Hao-Wen Dong

10:55 AM

Seeing Before Sorting: How Machine Learning Revealed a Hidden Crisis in Educational Classification

Presented by Peter Bahr

11:10 AM – 12:00 PM

AI Organizations Showcase

Session Chair: Shahana Chumki, Research Manager, MIDAS

Check here for the full list for presenting organizations

LAUNCHING NEW AI RESOURCES 🚀

  • Campus AI Resource Map
  • Online AI Guidebook
  • MAIZEY Demonstration

12:05 PM – 1:30 PM

Lunch, Networking, & Poster Session

Poster Session

📍Assembly Hall, Rackham Building

AWS AI for Research: Tools, Techniques, and Higher Education Applications

This session explores how AWS artificial intelligence and machine learning services are transforming research workflows in higher education. AWS Solutions Architects will provide an overview of the AWS AI toolset, including key services for machine learning, generative AI, and data analytics. Presidio, AWS strategic partner, will then showcase real-world research use cases demonstrating how institutions are leveraging these tools to accelerate discovery, enhance collaboration, and scale computational research across disciplines. Attendees will gain practical insights into implementing cloud-based AI solutions for academic research environments.

📍Amphitheatre, Rackham Building

1:30 PM – 2:30 PM

AI Journey Talks

Session Chair: Jon Reader, Data Systems Manager, Michigan Alzheimer’s Disease Center

1:30 PM

Beyond Binary Moderation: Transforming Online Safety through Generative AI

Presented by Farnaz Jahanbakhsh

1:45 PM

AI-Driven Transcription of Herbarium Specimens: Scalable Workflows for Biodiversity Data Mobilization

Presented by William Weaver

2:00 PM

The Noisy Path from Source to Citation: Measuring How Scholars Engage with Past Research

Presented by Hong Chen

2:15 PM

Small Models Achieve Large Language Model Performance: Benchmarking AI for Secure Child Welfare Research

Presented by Zia Qi

2:30 PM – 2:40 PM

Break

2:40 PM – 3:00 PM

Empowering Research with AI Awards

Brad Orr, Acting Director, MIDAS and Associate VP, Natural Sciences and Engineering of the Office of the Vice President for Research (OVPR), University of Michigan

3:00 PM

End of Symposium

U-M & Africa AI in Research Collaboration Workshop co-sponsored by African Studies Center

*invite only*

Day 3 – Wednesday, April 1

9:00 AM – 10:15 AM

Opening Remarks & Lightning Talks

10:15 AM – 11:45 AM

Roundtable discussions

11:45 AM – 12:00 PM

Closing Remarks

12:00 PM – 1:00 PM

Lunch & Networking

Questions? Contact Us.

Message the MIDAS team: [email protected].