Program at a Glance

Opening Remarks 9:45 am – 10:00 am EST
Symposium #1: Grand Challenges in Data Science and Engineering in Healthcare:  Medical Imaging 10:00 am – 2:30 pm EST
Moderator: Andrew Laine & Amir Amini
  • Roderic Pettigrew, Ph.D., MD, Texas A&M University
    “Integrating engineering and medicine to address big challenges ”
  • Michael I. Miller, Ph.D., Johns Hopkins University
    “Brain Imaging and Mapping”
  • Cynthia Rudin, Ph.D., Duke University
    “Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead”
  • Muyinatu Bell, Ph.D., Johns Hopkins University
    “Ultrasound Image Formation in the Deep Learning Age”
  • Laura Waller, PhD., UC Berkeley
    “End-to-end learning for computational microscopy”
  • Marco Lorenzi, Ph.D., Université Côte d’Azur
    “Biomedical data integration in neurodegenerative disorders: towards in-silico simulation of intervention trials”
  • Hayit Greenspan, Ph.D., Tel Aviv University
    “AI in Medical Imaging: Solving the Medical Data Challenge with Application to COVID-19”
  • Eric A. Hoffman, Ph.D., University of Iowa
    “Structural and Functional Lung Phenotyping via Multi-spectral CT”
  • Kristy K Brock, Ph.D., DABR, FAAPM, University of Texas
    “Challenges and Opportunities in the Clinical Translation of AI for Image Guided Cancer Therapy”
Symposium #2 Grand Challenges in Data Science and Engineering in Healthcare: Precision Medicine 10:00 am – 2:30 pm  EST
Moderator: Colin Brenan & Ali Tinazli
  • Raimond L. Winslow Ph.D., Johns Hopkins University
    “Predictive Analytics in Critical Care Medicine”
  • Craig Cummings, Ph.D., Genentech
    “Driving personalized oncology through advanced analysis of genomic, cellular and image-based biomarker data from large clinical trial cohorts”
  • Kamala K. Maddali, DVM, Ph.D., Deep Lens Inc
    “Precision Medicine in Cancer: Technology Barriers and Breakthroughs to better serve community cancer patients”
  • Curtis C. Harris, M.D., NCI/CCR
  • “Precision Medicine of Lung Cancer”
  • Thomas Wilckens, M.D., InnVentis Ltd.
  • “Precision Medicine – a data hungry paradigm shift”
  • Jadwiga Bienkowska, Ph.D., Pfizer
    “Leverage Data Science and unravel molecular mechanisms of disease, advance new therapies and deliver Precision Medicine to patients”
  • Erin Shellman, Ph.D., Ginkgo Bioworks, Inc.
    “Data Science in synthetic biology”
  • Anita Rogacs, Ph.D., HP
    “Microfluidics, MEMS and Nanotechnology in Precision Medicine”
Symposium #3: Grand Challenges in Data Science and Engineering in Healthcare:   Digital Healthcare   10:00 am – 2:30 pm EST
Moderator: Paolo Bonato & Jeff Palmer
  • Dina Demner Fushman, M.D., Ph.D.
     “Transforming data into information for clinical decision support”
  • Derek O’keeffe, MD, Ph.D., National University of Ireland
    “Digital Doctors: The Future of Medicine”
  • Deborah Estrin Ph.D., Cornell University and Cornell Tech
    “From patient generated data to digital biomarkers and therapeutics”
  • Wendy Nilsen, Ph.D., National Science Foundation
    “Challenges in Digital Healthcare: On the Cusp of Transformation”
  • Tom Quatieri, Ph.D., MIT Lincoln Lab
    “Vocal biomarkers of neurological conditions based on motor timing and coordination”
  • David Clifton, DPhil (Oxon), University of Oxford
    “Recent Advances for AI in Digital Health”
  • Bjoern Eskofier, Ph.D., Friedrich-Alexander University Erlangen-Nuernberg
    “Germany’s new Digital Healthcare Act – Paving the Way through the Valley of Innovation Death”
  • Julien Penders, M.Sc., Bloomlife
    “From Concept to Market: How Startups Help Putting Digital Health Innovations into People’s Hands”
  • Lucila Ohno-Machado, M.D., MBA, Ph.D.
    “Data Science Challenges: Building AI models while Protecting Privacy”
Symposium #4 Grand Challenges in Data Science and Engineering in Healthcare: Brain and Neural System 10:00 am – 2:30 pm EST
Moderator: Paul Sajda and Erika Ross
  • Emery N. Brown, MD, Ph.D., MIT
    “Challenges in Data Science and Engineering in Brain and Neural Systems
  • Paul Sajda, Ph.D., Columbia University
    “Machine Learning for Fusing Simultaneously Acquired EEG-fMRI”
  • Aldo Faisal, Ph.D., Imperial College of London
    “Ethomics: Restoring, augmenting and understanding the brain’s function through behaviour”
  • Sridevi V. Sarma, Ph.D., Johns Hopkins University
    “Localizing the epileptogenic zone in epilepsy patients from resting state EEG”
  • Andreas Savas Tolias, Ph.D., Baylor College of Medicine
    “A less artificial intelligence  “
  • Gabriel A. Silva, Ph.D., UC San Diego
    “Machine learning in neuroscience: Graph neural network based discovery of generalizable models”
  • Maryam Shanechi, Ph.D., USC
  • “Dynamical modeling and decoding of multiscale brain networks and application to brain-machine interfaces”
  • Theodoros Zanos, Ph.D., Zucker School of Medicine at Hofstra/Northwell 
    “Using data science to address challenges in bioelectronic medicine”
  • Mengjia Xu, Ph.D., MIT
    “A new stochastic graph embedding method for Alzheimer’s disease early‐stage prediction and intervention evaluation”
Closing Remarks 2:30 pm EST