AI-X Symposium on Challenges and Opportunities for AI and Data Science in Academia

Monday, May 15

Speaker session and panel | 1 to 5 p.m.
Reception | 5 to 5:30 p.m.

Shriver Hall, Johns Hopkins Homewood Campus
(in-person event only)

At the symposium, thought leaders from industry and academia will come together to discuss strategies that can help guide the future of artificial intelligence and data science within major universities.

Speakers will address the major challenges in AI and data science and discuss those areas that will have the greatest impact on scholarship, discovery, and translation.

Attendees will include Johns Hopkins University leadership.

Registration is now closed.

Schedule:

1:00 p.m. | Opening Remarks, Ron Daniels, President, Johns Hopkins University

1:10 – 3:50 p.m. | Speaker Presentations moderated by KT Ramesh, Executive Director of AI-X Foundry

1:10 – 1:30 p.m. Andrew Moore
1:35 – 1:55 p.m Dana Pe’er
2:00 – 2:20 p.m. Jimmy Lin
2:25 – 2:40 p.m. Pause/Technical Adjustments
2:40 – 3:00 p.m. Thomas Dietterich
3:05 – 3:25 p.m. Henry Kautz
3:30 – 3:50 p.m. Oren Etzioni

4:00 – 5:00 p.m. | Panel Discussion moderated by Alexis Battle, Deputy Executive Director of AI-X Foundry

5:00 p.m. | Closing Remarks, Ed Schlesinger Benjamin T. Rome Dean, Whiting School of Engineering

5:00 – 5:30 p.m. | Reception – Shriver Hall

Parking and Shuttle Service:

Parking: Parking is available in the South Garage or San Martin Center Garage (https://www.jhu.edu/maps-directions/campus-map/)
Shuttle Service: Shuttles will run between San Martin Garage and Shriver (shuttle stops outside of Mason Hall) every 30 minutes from 12:15pm to 6:00pm

*This event is in-person only. There will be no Zoom link or recording.

Speakers:

Tom Dietterich

Tom Dietterich, a pioneer in the field of machine learning and AI, is a professor emeritus at Oregon State University’s School of Electrical Engineering and Computer Science. His research addresses problems in personal information management, drug design, sustainability, and safe, robust artificial intelligence. He is a past president of the AAAI, founding president of the ICML, and is a fellow of the ACM, AAAS, and AAAI.

Oren Etzioni

Oren Etzioni, a prominent AI researcher and entrepreneur taught computer science at the University of Washington before becoming the first CEO of the Allen Institute for Artificial Intelligence (AI2). He has made significant contributions to the field of natural language processing, with a focus on machine reading, information extraction, and web search, and is an AAAI fellow.

Henry Kautz

An expert in automated planning, pervasive healthcare applications of AI, social media analytics, and models for inferring human behavior from sensor data, Henry Kautz is a professor emeritus of Computer Science at the University of Rochester, where he was founding director of the Goergen Institute for Data Science. A fellow of the AAAI and ACM, he also led the NSF’s National AI Research Institutes program, and now advises the Schmidt Future foundation on artificial intelligence.

Jimmy Lin

Jimmy Lin, the David R. Cheriton Chair at the University of Waterloo’s David R. Cheriton School of Computer Science, co-directs the Waterloo AI Institute, an organization with 250+ affiliated faculty members and 550+ graduate students that brings together all AI-related activities at the University. He has made significant contributions to the fields of natural language processing, information retrieval, and artificial intelligence and is a fellow of the ACM.

Andrew Moore

Andrew Moore is a leading expert in AI, machine learning, and robotics. He served as vice president of Google Cloud AI and general manager for AI and industry solutions and vice president of engineering and founding director of Google’s Pittsburgh Lab. He is the former dean of Carnegie Mellon University’s School of Computer Science and creator of the AUTON Lab. His research develops methods for a broad range of data, from Web searches to astronomy to medical records, in order to identify patterns and extract meaning from that information.

Dana Pe’er

Dana Pe’er, a renowned computational biologist, combines single cell technologies, genomic datasets, and machine learning algorithms to address fundamental questions in biomedical science. At the Memorial Sloan Kettering Cancer Center, she chairs the Computational & Systems Biology Program and is scientific director of the Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center, and she leads computational analysis for the Human Cell Atlas. She is also a Howard Hughes Medical Institute (HHMI) Investigator.

JHU Panelists:

Elana Fertig

Elana Fertig is a professor of oncology at Johns Hopkins School of Medicine. At JHU’s Kimmel Center, she directs Quantitative Sciences Division and co-directs the Convergence Institute. She combines systems biology with translational technology to identify tumor and immune cell interactions in therapeutic resistance. Using computational methods that integrate mathematical modeling and AI, she determines the biomarkers and molecular mechanisms of therapeutic resistance and disease progression from multi-platform genomics data.

Rama Chellappa

Rama Chellappa, a Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering at Johns Hopkins, studies computer vision, AI, and machine learning. His work has impacted areas including smart cars, forensics, and 2D and 3D modeling of faces and terrain. He is the chief scientist for JHU’s Institute for Assured Autonomy and a member of the National Academy of Engineering.

Elizabeth Stuart

Elizabeth Stuart is a Bloomberg Professor of American Health in the Departments of Mental Health, Biostatistics, and Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health; beginning July 1, she will be Chair of the Department of Biostatistics. A statistician by training, her work is in the development and use of data science and statistical methods to estimate causal effects. She is a Fellow of ASA and AAAS and a member of the National Academies’ Committee on National Statistics and Committee on Applied and Theoretical Statistics.

Alan Yuille

Alan Yuille, a Bloomberg Distinguished Professor of computer science and cognitive science at Johns Hopkins, studies computational models of vision, mathematical models of cognition, medical image analysis, and artificial intelligence and neural networks.

Moderators:

KT Ramesh

KT Ramesh, the Alonzo G. Decker Jr. Professor of Science and Engineering and senior advisor to the president for AI, is the Executive Director of the AI-X Foundry. He is a professor in the Departments of Mechanical Engineering and Materials Science and Engineering in the Whiting School, with a joint appointment in the Department of Earth and Planetary Sciences in the Krieger School of Arts and Sciences. He is currently also the director of the Hopkins Extreme Materials Institute (HEMI). His current research focuses on AI for materials design, impact biomechanics, hypersonics, and protecting the Earth from incoming asteroids.

Alexis Battle

Alexis Battle, Johns Hopkins AI-X Foundry Deputy Executive Director, is also the director of the Malone Center for Engineering in Healthcare and an associate professor in biomedical engineering with secondary appointments in computer science as well as the department of genetic medicine at Johns Hopkins School of Medicine. She was a 2016 Searle Scholar and a 2019 Microsoft Investigator Fellow. Her research focuses on machine learning and developing statistical methods to examine how genetic differences between individuals contribute to differences in health, from cellular-level changes to disease outcomes. She specializes in unlocking the secrets and function of the human genome by analyzing large-scale genomic sequencing data.

The Johns Hopkins AI-X Foundry is a university-based organization with an ambitious global vision: the intentional collaboration of human and artificial intelligence (AI), with AI learning from humans and humans learning from AI, bringing their complementary strengths together towards the goal of understanding and improving the human condition.

Symposium Organizing Committee: Alexis Battle, Rama Chellappa, Mark Dredze, KT Ramesh, Alex Szalay, and Alan Yuille.