AI-driven Research Workflows

MIDAS and Dept. Robotics mini-symposium

Friday, October 20, 2023
8:45 am – 3:00 pm

Weiser Hall, 10th floor
500 Church Street,
Ann Arbor, MI 48109

Program at a Glance

Dr. Jagadish
Jing Liu

8:45 am: welcome remarks

Dr. H. V. Jagadish, Edgar F Codd Distinguished University Professor of Electrical Engineering and Computer Science, Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science, Professor of Electrical Engineering and Computer Science, College of Engineering; Director of the Michigan Institute for Data Science, University of Michigan

Dr. Jing Liu, Executive Director, Michigan Institute for Data Science, University of Michigan

9:00 am: Keynote – Dr. Ian Foster, Director, Data Science and Learning Division; Argonne Senior Scientist; Argonne National Lab. Distinguished Fellow and the Arthur Holly Compton Distinguished Service Professor, Computer Science, University of Chicago.

Research Overview

Dr. Ian Foster is the Director of Argonne’s Data Science and Learning Division, Argonne Senior Scientist and Distinguished Fellow and the Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago.  He was the Director of Argonne’s Computation Institute from 2006 to 2016.  

Foster’s research contributions span high-performance computing, distributed systems, and data-driven discovery.  He has published hundreds of scientific papers and eight books on these and other topics.  Methods and software developed under his leadership underpin many large national and international cyberinfrastructures.

Foster received a BSc (Hons I) degree from the University of Canterbury, New Zealand, and a PhD from Imperial College, United Kingdom, both in computer science.  His awards include the Global Information Infrastructure (GII) Next Generation award, the British Computer Society’s Lovelace Medal, R&D Magazine’s Innovator of the Year, the IEEE Tsutomu Kanai award, and honorary doctorates from the University of Canterbury, New Zealand and CINVESTAV, Mexico.

He is an elected Fellow of the American Association for the Advancement of Science, the Association for Computing Machinery, and British Computer Society.

10:10 am: Dr. Tim Cernak, Assistant Professor of Medicinal Chemistry and Chemistry, University of Michigan

Research Overview

The Cernak Lab studies the interface of chemical synthesis and computer science. The functional and biological properties of a small molecule are encoded within structure, so synthetic strategies that access diverse structures are paramount to the invention of novel functional molecules such as biological probes, materials or pharmaceuticals. We use algorithms, robotics and big data to invent new chemical reactions, synthetic routes to natural products, and small molecule probes to answer questions in basic biology. Our lab employs informatics in reaction discovery, total synthesis, cell imaging and medicinal chemistry studies. Researchers in the group learn high-throughput experimentation, basic coding, and modern synthetic techniques. By studying the relationship of chemical synthesis to functional properties, we pursue the opportunity to positively impact human health.

Paul Jensen

10:40 am: Dr. Paul Jensen, Assistant Professor of Biomedical Engineering, University of Michigan

Research Overview

I trained as an engineer and microbiologist at the University of Minnesota, the University of Virginia, and Boston College. I joined the biomedical engineering faculty at Michigan to mentor students in systems microbiology, artificial intelligence, and automated science. I enjoy reading and gardening with my wife and two children.

Charles Mayo

11:10 am: Dr. Charles Mayo, Professor, Director of Radiation Oncology Informatics and Analytics, University of Michigan

Research Overview

Dr. Mayo has over 27 years’ experience in clinical medical physics and translational research, particularly in the areas of advanced treatment planning techniques with IMRT/VMAT and in the study of normal tissue tolerances as part of the QUANTEC effort. His current interests are in the areas of health care informatics (infrastructure, standardizations, and analysis), application of statistical methods in treatment and outcomes modeling, and automation of advanced treatment planning methods. This includes enabling routine, the use of retrospective statistical models developed from prior treatment experience for all patients treated in a practice to inform decisions for subsequent patients, and extending these approaches to investigate multi-institutional experience to guide health care policy

Jason Corso

11:45 am: Dr. Jason Corso, Professor of Robotics and Electrical Engineering, and Computer Science, University of Michigan

Research Overview

Dr. Jason J. Corso is currently a Professor of Electrical Engineering and Computer Science at the University of Michigan. He received his Ph.D. in Computer Science at The Johns Hopkins University in 2005. He is a recipient of the NSF CAREER award (2009), ARO Young Investigator award (2010), Google Faculty Research Award (2015) and on the DARPA CSSG. He is also the Co-Founder and CEO of Voxel51, a computer vision tech startup that is building the state of the art platform for video and image based applications.

Bing Ye

12:15 pm: Dr. Bing Ye, Burton L. Baker Collegiate Professor of the Life Sciences, Research Associate Dean, Research Professor, and Director of the Perrigo Undergraduate Summer Fellowship Program, University of Michigan Life Sciences Institute; Professor of Cell and Developmental Biology, University of Michigan Medical School

“AI-based behavioral analysis for preclinical and clinical research”

Research Overview

Dr. Bing Ye is the Burton L. Baker Collegiate Professor in the Life Sciences Institute and Department of Cell and Developmental Biology of U-M medical school. The Ye lab takes a broad, multi-disciplinary approach to study the neural basis of behavior, which includes genetics, cell biology, developmental biology, biochemistry, advanced imaging, electrophysiology, computation and behavioral studies. They also investigate how defects in neuronal development lead to brain disorders, including those in Down syndrome.

12:45 – 3 pm: faculty research roundtable discussion (lunch provided, pre-registration highly recommended). This session is for faculty members who want to develop AI-driven research workflows. We will hear more about the work of the Argonne National Lab team, and discuss our opportunities and challenges.


Jing Liu

Dr. Jing Liu, Executive Director, Michigan Institute for Data Science


Questions? Message the MIDAS team: