Dean's Workshop: "Integrating Systems Immunology, Engineering, and AI to Monitor, Predict, and Improve Human Health"

The immune system, critical for human health and implicated in many diseases, defends against pathogens, monitors physiological stresses, and maintains tissue and organismal homeostasis. The immune system thus provides an informative window into the health and physiologic state of every person.

The Yale School of Medicine Dean’s Office and the recently established Yale Center for Systems and Engineering Immunology (CSEI) invite you to explore cutting-edge systems and engineering immunology, deep tissue imaging, and artificial intelligence (AI) approaches for investigating the immune system and its interaction with physiology. In addition to introducing CSEI’s vision, the workshop will highlight the latest systems and technological advances for improving understanding of the immune system and physiologic health and advancing the ability to predict immune system behavior and health trajectory at the individual level. Overall, the event will emphasize the opportunities of interdisciplinary collaborations and the enormous potential of integrating these dynamic fields to advance immunology research and precision medicine.

This hybrid event will take place via Zoom and in person in TAC Auditorium–N107. As with previous workshops, we will provide a survey at the end of the meeting.

INTEGRATING SYSTEMS IMMUNOLOGY, ENGINEERING, AND AI TO MONITOR, PREDICT, AND IMPROVE HUMAN HEALTH

INTRODUCTION AND WELCOME
1 - 1:05 PM
Nancy J. Brown, MD , Jean and David W. Wallace Dean of Medicine and C.N.H. Long Professor of Internal Medicine

PREDICTING AND MODULATING PERSONAL IMMUNITY AND HEALTH
1:05 - 1:25 PM
John S. Tsang, PhD, Professor of Immunobiology and Biomedical Engineering; Director of Yale Center for Systems and Engineering Immunology (CSEI), Yale School of Medicine

UNRAVELING SARS-COV-2 HOST-RESPONSE HETEROGENEITY THROUGH LONGITUDINAL MOLECULAR SUBTYPING
1:25 - 1:45 PM
Leying Guan, PhD, Assistant Professor of Biostatistics, Yale School of Public Health

KEYNOTE SPEAKER
PROGRESS IN GENERATIVE MODELS IN MACHINE LEARNING
1:45 - 2:10 PM
Navdeep Jaitly, PhD, Research Scientist, Machine Learning Research, Apple

NETWORKING BREAK 2:10-2:30 PM

IMMUNE SIGNATURES OF VACCINATION AND INFECTION RESPONSES
2:30 - 2:50 PM
Steven Kleinstein, PhD, Anthony N. Brady Professor of Pathology; Core Member, Yale Center for Systems and Engineering Immunology (CSEI), Yale School of Medicine; Co-Director of Graduate Studies, Computational Biology and Bioinformatics, Yale University

WAVEFRONT SHAPING FOR DEEP TISSUE IMAGING
2:50 -3:10 PM
Hui Cao, PhD, John C. Malone Professor of Applied Physics and Professor of Electrical Engineering and of Physics, Yale School of Engineering and Applied Science

INTERPRETABLE DEEP LEARNING TO MODEL IMMUNE RECEPTORS
3:10 - 3:30 PM
María Rodríguez Martínez, PhD, Associate Professor in Biomedical Informatics & Data Science; Core Member, Yale Center for Systems and Engineering Immunology (CSEI), Yale School of Medicine

KEYNOTE SPEAKER
GENERATIVE BIOLOGY: LEARNING TO PROGRAM CELLULAR MACHINES
3:30 - 3:55 PM
Wendell Lim, PhD, Byers Distinguished Professor of Cellular and Molecular Pharmacology; Director of Cell Design Institute, University of California, San Francisco

CLOSING REMARKS
3:55 PM
Nancy J. Brown, MD