Monday-Tuesday, Sept 18-19, 2023
Realizing the potential of machine learning and artificial intelligence (AI) in population health and biomedicine
The Third Penn Conference on Big Data in Biomedical and Population Health Services will be held on September 18-19, 2023 at the Perelman School of Medicine's Biomedical Research Building (421 Curie Boulevard, Philadelphia, PA) and will convene thought leaders from eight influential areas of big data.
Registration is open
REGISTRATION FEES - Includes breakfast and lunch each day, plus the reception.
| $400 | General registrants outside of the University of Pennsylvania |
| $300 | Postdocs and students outside of the University of Pennsylvania |
| $100 | Members of a historically marginalized or underrepresented population |
| WAIVED | Penn/CHOP faculty, postdocs, students, or affiliates of sponsors |
ABSTRACT & POSTER PRESENTATIONS
Attendees are invited to submit abstracts and posters about their related work to be presented during the reception on the evening of September 18, 2023. If interested, please submit your abstract or poster after registering. NOTE: We can accept a limited number of posters - first come, first serve.
ACCOMMODATIONS
Information on hotel accomodations will be available when registration opens on July 15, 2023.
AGENDA FOR DAY 1 - Monday, September 18, 2023
8:00 AM: REGISTRATION AND BREAKFAST (BRB Lobby)
8:45 AM: OPENING REMARKS AND INTRODUCTION
Hongzhe Li, PhD - Perelman Professor of Biostatistics, Epidemiology and Informatics; Vice Chair of Integrative Research, Department of Biostatistics, Epidemiology and Informatics
Enrique Schisterman, PhD - Chair, Department of Biostatistics, Epidemiology and Informatics
SESSION ONE: AI IN MEDICINE AND LEARNING HEALTH SYSTEMS (x3 talks)
Chair: Hongzhe Li, PhD - University of Pennsylvania
9:00 AM: Artificial Intelligence in Medicine
Rene Vidal, PhD - Rachleff University Professor, University of Pennsylvania
Rene Vidal, PhD - Rachleff University Professor, University of Pennsylvania
9:30 AM: Harnessing Clinicial Nursing Data for Predictive Analytics and Decision Support in the Hospital Setting
Kenrik Cato, PhD, RN, CPHIMS, FAAN - Professor of Informatics, Children's Hospital of Philadelphia
Kenrik Cato, PhD, RN, CPHIMS, FAAN - Professor of Informatics, Children's Hospital of Philadelphia
10:00 AM: Multi-Modal Machine Learning for Biomedicine
Fei Wang, PhD - Assistant Professor of Healthcare Policy and Research, Weill Cornell Medicine
Fei Wang, PhD - Assistant Professor of Healthcare Policy and Research, Weill Cornell Medicine
10:30 AM - 11:00 AM: COFFEE BREAK (BRB Lobby)
SESSION TWO: CAUSAL INFERENCE IN BIOMEDICINE AND PUBLIC HEALTH (x2 talks)
Chair: Eric Tchetgen Tchetgen, PhD - University of Pennsylvania
11:00 AM: [Topic of talk forthcoming]
James Robins, PhD - Mitchell L. and Robin LaFoley Dong Professor of Epidemiology, Harvard University
James Robins, PhD - Mitchell L. and Robin LaFoley Dong Professor of Epidemiology, Harvard University
11:30 AM: Machine Learning for Causality
Konrad Korning, PhD - Penn Integrated Knowledge (PIK) Professor, Bioengineering and Neuroscience, University of Pennsylvania
Konrad Korning, PhD - Penn Integrated Knowledge (PIK) Professor, Bioengineering and Neuroscience, University of Pennsylvania
12:00 PM - 1:30 PM: LUNCH BREAK AND POSTER SESSION (BRB Lobby)
SESSION THREE: BIAS AND ALGORITHM FAIRNESS OF AI IN MEDICINE (x3 talks)
Chair: Qi Long, PhD – University of Pennsylvania
1:30 PM: Robust and Equitable Uncertainty Estimation
Aaron Roth, PhD - Henry Salvatori Professor of Computer and Cognitive Science, University of Pennsylvania
Aaron Roth, PhD - Henry Salvatori Professor of Computer and Cognitive Science, University of Pennsylvania
2:00 PM: Biomedicine in the Age of LLM
James Zou, PhD - Assistant Professor of Biomedical Data Science, Stanford University
James Zou, PhD - Assistant Professor of Biomedical Data Science, Stanford University
2:30 PM: Causal and Counterfactual Views of (Un)Fairness in Automated Decision Making
Razieh Nabi, PhD - Rollins Assistant Professor of Biostatistics and Bioinformatics, Emory University
Razieh Nabi, PhD - Rollins Assistant Professor of Biostatistics and Bioinformatics, Emory University
3:00 PM - 3:30 PM: BREAK
SESSION FOUR: PRECISION NUTRITION, BACTERIA, VIRUS AND HOST INTERACTIONS (x3 talks)
Chair: Stephanie Hinkle, PhD - University of Pennsylvania
3:30 PM: Statistical and Machine Learning Approaches for Investigating Virus-Host Interactions
Fengzhu Sun, PhD - Professor of Quantitative and Computational Biology and Mathematics, University of Southern California
Fengzhu Sun, PhD - Professor of Quantitative and Computational Biology and Mathematics, University of Southern California
4:00 PM: Deep Learning for Precision Nutrition
Yang-Yu Liu, PhD - Associate Professor of Medicine, Harvard Medical School
Yang-Yu Liu, PhD - Associate Professor of Medicine, Harvard Medical School
4:30 PM: Neighbors, Friends, and Foes: Spatial Statistical Analysis for Biofilm Image Data
Jacqueline Starr, PhD - Associate Professor, Harvard Medical School
Jacqueline Starr, PhD - Associate Professor, Harvard Medical School
5:00 PM: RECEPTION AND POSTER SESSION (BRB Lobby)
6:30 PM: DINNER (invited speakers and session chairs)
AGENDA FOR DAY 2 - Tuesday, September 19, 2023
8:00 AM: BREAKFAST (BRB Lobby)
SESSION FIVE: IMPACT OF LARGE CLAIM DATABASE AND REAL-WORLD EVIDENCE (x3 talks)
Chair: Alexis Ogdie-Beatty, MD, MSCE(link is external) - University of Pennsylvania
8:30 AM: Lessons from the Observational Health Data Sciences and Informatics Community
Patrick Ryan, PhD - Vice President of Observational Health Data Analytics, Janssen Research & Development
9:00 AM: Reproducible and Transparent Public Health Surveillance and Research Using Real-World Data
Darren Toh, DSc - Professor of Population Medicine, Harvard Medical School
9:30 AM: Linking Large Datasets to Augment Research in Transplantation and Study Variation in Care
Therese Bittermann, MD, MSCE - Assistant Professor of Medicine and Epidemiology, University of Pennsylvania
10:00 AM - 10:30 AM: COFFEE BREAK (BRB Lobby)
SESSION SIX: BIO HEALTH TECH, MOBILE HEALTH AND WEARABLE DEVICES (x3 talks)
Chair: Ian Barnett, PhD - University of Pennsylvania
10:30 AM: Sensory Interventions: Real-Time Integration of Passive Sensing and Adaptive Passive Interventions
Tanzeem Choudhury, PhD - Roger and Joelle Burnell Professor in Integrated Health and Technology, Cornell Tech
11:00 AM: Multi-State Rate Modeling of Physical Activity Dynamics Using Accelerometer Data
Peter Song, PhD - Professor of Biostatistics, University of Michigan
11:30 AM: Predictive Modeling with mHealth Data to Personalize Psychotherapy
Samprit Banerjee, PhD, MStat - Associate Professor of Biostatistics, Weill Cornell Medicine
12:00 PM-1:00 PM: LUNCH BREAK AND POSTER SESSION (BRB Lobby)
SESSION SEVEN: COMPUTATIONAL NEUROSCIENCE (x3 talks)
Chair: Russell Takeshi Shinohara, PhD - University of Pennsylvania
1:00 PM: Reproducible Analysis and Visualization of iEEG Data
Michael Beauchamp, PhD - Professor of Neurosurgery, University of Pennsylvania
1:30 PM: Graph Learning for Functional Neuronal Connectivity
Genevera Allen, PhD - Associate Professor of Electrical and Computer Engineering and Statistics, Rice University
2:00 PM: Mental Effort in a Network Economy
Dani Bassett, PhD - J. Peter Skirkanich Professor, University of Pennsylvania
2:30 - 3:00 PM: BREAK
SESSION EIGHT: MACHINE LEARNING AND STATISTICAL IMAGING
Chair: Kristin Linn, PhD - University of Pennsylvania
3:00 PM: Understanding Disease Heterogeneity Via Weakly-Supervised Machine Learning Methods: Application to Alzheimer’s Disease and Schizophrenia
Christos Davatzikos, PhD - Wallace T. Miller Sr. Professor of Radiology; Professor of Electrical and Systems Engineering, and Informatics, University of Pennsylvania
3:30 PM: Mapping the Mind: Modeling Brain Connectivity and Its Link to Behavior
Yize Zhao, PhD - Associate Professor of Biostatistics, Yale University
4:00 PM: Covariance-on-Covariance Regression
Yi Zhao, PhD - Assistant Professor of Biostatistics and Health Data Science, Indiana University
4:30 PM: CONCLUDING REMARKS
We would like to thank the organizers and sponsors of the
Third Penn Conference on Big Data in Biomedical and Population Health Sciences:
Third Penn Conference on Big Data in Biomedical and Population Health Sciences:
ORGANIZERS
Hongzhe Li
Qi Long
Taki Shinohara
Li Shen
Ian Barnett
Alexis Ogdie-Beatty
Eric Tchetgen Tchetgen
Qi Long
Taki Shinohara
Li Shen
Ian Barnett
Alexis Ogdie-Beatty
Eric Tchetgen Tchetgen
SPONSORS
Department of Biostatistics, Epidemiology and Informatics (DBEI)
Penn Institute for Biomedical Informatics (IBI)
Center for Clinical Epidemiology and Biostatistics (CCEB)
Center for Statistics in Biomedical Big Data (CSBBD)
Center For AI And Data Science for Integrated Diagnostics (AI2D)
Center for Health Analytics and Synthesis of Evidence (CHASE)
Penn Institute for Biomedical Informatics (IBI)
Center for Clinical Epidemiology and Biostatistics (CCEB)
Center for Statistics in Biomedical Big Data (CSBBD)
Center For AI And Data Science for Integrated Diagnostics (AI2D)
Center for Health Analytics and Synthesis of Evidence (CHASE)
Contact Marissa Fox at mfox@pennmedicine.upenn.edu for more information.
Event Type
- NISS Sponsored
Host
University of Pennsylvania
Sponsor
National Institute of Statistical Sciences
Website
Location
University of Pennsylvania
215 Blockley Hall, 423 Guardian Drive
Philadelphia
,
Pennsylvania
,
19104
United States
Policy
