Thanks to all who joined us on September 19th & 20th in-person for our Second Penn Conference on Big Data in Biomedical and Population Health Sciences! Thanks again to all our sponsors for contributing to making this such a successful event. We look forward to our 2023 conference.
Realizing the potential of biomedical data sciences in population health and biomedicine by advancing state-of-the-art research, the Second Penn Conference on Big Data in Biomedical and Population Health Sciences, September 19-20, 2022 at the Perelman School of Medicine's Biomedical Research Building, 421 Curie Boulevard, Philadelphia, will offer insights from thought leaders in eight influential areas of big data.
REGISTER HERE via the Iris system:
Creating an account, if you don't have one, is simple. The process sometimes calls for an event code: BigDataConference22 (with no spaces between words).
FEES (includes 2 breakfasts, 2 lunches, and 1 reception):
| $250 | General registration outside of the University of Pennsylvania |
| $150 | Student registration outside of the University of Pennsylvania |
| $50 | Penn and CHOP affilliates |
| Waived | DBEI/CCEB/IBI faculty, students, postdocs, or affiliates of the sponsor centers |
| Waived | If you are a member of a historically marginalized or under-represented population. (There are a limited amount of scholarships available). |
ABSTRACT & POSTER PRESENTING
Attendees are invited to submit abstracts and present posters about their related work during the Sept.19 reception. Once you have registered for the conference, you may indicate your interest and submit your abstract here. Several "best poster awards" will be given to students and postdoctoral fellows, sponsored by GSK. NOTE: We can accept a limited number of posters—first come, first served.
ACCOMMODATIONS
A limited number of reduced-rate rooms are currently available at the nearby Sheraton University City hotel, 3549 Chestnut St. (RESERVE YOUR ROOM HERE) NOTE: The reduced rate is only offered on bookings through August 26, 2022.
AGENDA for Monday, September 19, 2022 - (Day 1)
8:00 AM – REGISTRATION AND BREAKFAST (BRB Lobby)
8:45 AM – Opening remarks, Introduction
Hongzhe Li, PhD, Perelman Professor of Biostatistics, Epidemiology and Informatics
Enrique Schisterman, PhD, Chair, Department of Biostatistics, Epidemiology and Informatics
Kevin Mahoney, MBA, CEO, The University of Pennsylvania Health System (UPHS)
Session One (3 talks) EHR, Large Electronic Databases and Behavioral Economics
Chair: Jinbo Chen, PhD - University of Pennsylvania
9:00 AM Ravi Parikh, MD
Assistant Professor, Department of Medical Ethics and Health Policy and Medicine, University of Pennsylvania
Conversation Connect: Machine learning and behavioral economics to improve serious illness communication
John Rock Professor of Population and Translational Data Sciences, Harvard University
Real world evidence with multi-institutional EHR data
10:00 AM Eleanor Pullenayegum, PhD
Associate Professor, Hospital for Sick Children, and the University of Toronto Dalla Lana School of Public Health
Longitudinal studies using EHR data: handling irregular and informative assessment times
10:30 AM – 11:00 AM COFFEE BREAK (BRB Lobby)
Session Two (2 talks): Dynamic COVID Risk Assessment
Chair: Hongzhe Li, PhD - University of Pennsylvania
11:00 AM Yuanjia Wang, PhD
Professor of Biostatistics, Columbia University
Dynamic COVID risk assessment accounting for community exposures from a spatial-temporal transmission model
11:30 AM Jing Huang, PhD
Assistant Professor, University of Pennsylvania
Characterizing the dynamics of pandemic and preparing for speedy and accurate response
12:00 PM–1:30 PM LUNCH BREAK AND POSTER SESSION (BRB lobby)
Session Three (3 talks) Genomics Data and Health Disparity
Chair: Hongzhe Li, PhD - University of Pennsylvania
1:30 PM Kari North, PhD
Professor of Epidemiology, University of North Carolina, Chapel Hill
Genomics and Research Disparities: Turning a New Leaf
2:00 PM Eimear Kenny, PhD
Professor of Genetics and Genomic Science, Ichan School of Medicine at Mount Sinai
Population Genetics in an Era of Genomic Health
2:30 PM Sarah Tishkoff, PhD
David and Lyn Silfen University Professor in Genetics and Biology, University of Pennsylvania
Global Genomics and Health Equity
3:00 PM – 3:30 PM BREAK
Session Four (3 talks) Single Cell Genomics and Multi-omics Data Integration in Translation Research
Chair: Mingyao Li, PhD, - University of Pennsylvania
3:30 PM Christina Kendziorski, PhD
Professor of Biostatistics, University of Wisconsin at Madison
Statistical methods for spatial transcriptomics
4:00 PM Yang Xie, PhD
Raymond D. and Patsy R. Nasher Distinguished Chair in Cancer Research, UT Southwestern
Integrating imaging and genomic information to analyze spatial molecular profiling data
4:30 PM Genevieve Stein-O’Brien, PhD
Assistant Professor of Neuroscience, Brain Science Institute
Associate director of JHU Single-Cell Training and Analysis Center, Johns Hopkins University
Transfer learning for precision medicine via latent spaces
5:00 PM - RECEPTION AND POSTER SESSION (BRB Lobby)
6:30 PM - DINNER (for invited speakers and session chairs)
AGENDA for Tuesday, September 20, 2022 - (Day 2)
8:00 AM-9:00 AM BREAKFAST (BRB Lobby)
Session Five (3 talks): Big Data in Biomedical Imaging and Applications
Chair: Taki Shinohara, PhD - University of Pennsylvania
9:00 AM Despina Kontos, PhD
Matthew J. Wilson Associate Professor, University of Pennsylvania
Radiomics, Radiogenomics, and AI: The Role of Computational Imaging in Precision Cancer Care
9:30 AM Nico Dosenbach, MD, PhD
Associate Professor of Neurology, Washington University
Brain-wide association studies (BWAS): The underpowered sample paradox
10:00 AM Ying Guo, PhD
Professor of Biostatistics, Emory University
Statistical learning with neuroimaging for reliable and reproducible brain network analysis
10:30 AM-11:00 AM COFFEE BREAK (BRB Lobby)
Session Six (2 talks) Nutrition, Microbiome and Metabolomics
Chair: Hongzhe Li, PhD - University of Pennsylvania
11:00 AM Eran Segal, PhD
Professor, Weizmann Institute of Science
Personalized medicine based on deep human phenotyping
11:30 AM Jordan Bisanz, PhD
Assistant Professor, Penn State University
Leveraging big data and strain diversity for mechanistic microbiome research
12:00 PM-1:00 PM LUNCH BREAK AND POSTER SESSION (BRB Lobby)
Session Seven (3 talks) Cancer Data Science
Chair: Qi Long, PhD - University of Pennsylvania
1:00 PM Colin Begg, PhD
Chair and Attending Biostatistician, Memorial Sloan Kettering Cancer Center
Interpretation of Rare Genomic Variants from a Statistical Perspective
1:30 PM Yu Shen, PhD
Conversation with a Living Legend Professor and Chair ad interim, Department of Biostatistics,
The University of Texas MD Anderson Cancer Center, Houston, TX
Learning from Big Data: Simulated Data and Real-World Data
2:00 PM Rebecca Hubbard, PhD
Professor of Biostatistics, University of Pennsylvania
Deriving complementary evidence on cancer care and outcomes from clinical trials and real-world data
2:30 PM–3:00 PM BREAK
Session Eight (3 talks): Modern Development and Applications of Causal Inference
Chair: Nandita Mitra, PhD - University of Pennsylvania
Luddy Family President’s Distinguished Professor, The Wharton School
Negative Control Methods to De-bias Test-Negative Design Studies of COVID-19 Vaccine Effectiveness
3:30 PM Joseph Hogan, PhD
Professor of Biostatistics, Brown University
Dynamically updated generative models for causal and predictive inference from EHR and surveillance data
4:00 PM Linda Valeri, PhD
Assistant Professor of Biostatistics, Columbia University
Bayesian kernel machine regression for environmental mixtures
4:30 PM - CONCLUDING REMARKS AND PRESENTATION OF BEST POSTER AWARDS
Thank you to our Organizers and Sponsors of the
Second Penn Conference on Big Data in Biomedical and Population Health Sciences:
Organizers
Hongzhe Li, Mingyao Li, Qi Long, Nandita Mitra, Jinbo Chen and Taki Shinohara
Sponsors
Penn Institute for Biomedical Informatics
Center for Statistics in Big Data
Center for Causal Inference
Penn Statistics in Imaging and Visualization Endeavor (PennSIVE)
Center for Cancer Data Science
Statistical Center for Translational Research in Medicine
Statistical Center for Single-Cell and Spatial Genomics
Penn Center for Nutritional Science and Medicine (PenNSAM)
PennCHOP Microbiome Program
Penn Center for Research on Coronavirus and Other Emerging Pathogens
Penn Center for Cancer Care Innovation (PC3I)
Penn Center for Global Genomics and Health Equity
For further general information, contact Janine Pritchard.