Center for Computational Health - 2017 IBM Research Computational Health Summit


IBM T. J. Watson Research

Computational Health Summit

May 23, 2017 

On Tuesday, May 23rd, we are sponsoring an exciting full day Computational Health Summit, featuring invited talks, interactive panels, demos and posters on various aspects of computational health including panels on deep learning and patient engagement as well as presentations on observational studies, predictive modelling, translational informatics, health behavior and digital health.  

The objective of the summit is to bring together informatics and computational health professionals in the northeastern United States to share latest developments and explore potential collaborations.

This event is being sponsored by the IBM T.J. Watson Research Center Health Informatics Professional Interest Community (PIC), is chaired by Jianying Hu and Amar Das, and is by invitation only. 

The detailed agenda is below:

AGENDA

8:30 - 9:00

Welcome and Opening Remarks

Shahram Ebadollahi

Vice President, Innovations & Chief

Science Officer, IBM Watson Health Group

Ajay Royyuru

Vice President, Healthcare & Life Sciences Research

Jianying Hu

Distinguished Research Staff Member and

Program Director, Center for Computational

Health

9:00 – 9:20

Moving from Precision Medicine to Next Generation Healthcare

Joel Dudley

Director, Next Generation Healthcare Institute; Associate Professor, Genetics and Genomic Sciences; Associate Professor, Population Health Science and Policy; Associate Professor, Medicine, Mount Sinai School of Medicine

9:20 – 9:40

Network Analytics for Precision Health

Fei Wang

Assistant Professor of Health Care Policy and Research, Weill Cornell Medical College

9:40 – 10:00

Honest Learning for the Healthcare System: Large-Scale evidence from Real-World Data

David Madigan

Executive Vice President and Dean of Faculty of Arts and Sciences and Professor of Statistics, Columbia University, Data Science Institute

10:00 – 10:20

Uses and Misuses of Machine Learning in Health

Ziad Obermeyer

Assistant Professor of Health Care Policy, Harvard Medical School

10:20 – 10:40

Coffee Break (Mezzanine)

10:40 – 12:10

Panel - Deep Learning for Health Informatics

Kenney Ng (Moderator)

Research Staff Member and Manager, Health Analytics, IBM Research

Jimeng Sun

Associate Professor of Computational Science and Engineering, Georgia Institute of Technology, College of Computing

Nick Tatonetti

Assistant Professor of Biomedical Informatics, Columbia University, Data Science Institute

Riccardo Miotto

Data Scientist, Dudley Lab, Dept. of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, Harris Center for Precision Wellness

Soumya Ghosh

Research Staff Member, IBM Research

12:10 – 2:10

Lunch & Posters (Cafeteria Annex)

1:10 – 1:55

THINKLab Demos (Triptychs 4 & 5)

2:10 – 2:30

Leveraging Data for Statewide Healthcare Improvement: Big Health Data in a Small State

Neil Sarkar

Founding Director, Brown Center for Biomedical Informatics, Brown University

2:30 – 2:50

Learning from Patient-Generated Data (and Ways for Patients to Generate Data)

Noémie Elhadad

Associate Professor of Biomedical Informatics, Columbia University, Data Science Institute

2:50 – 3:10

Social Media Mining for Pharmacovigilance

Graciela Gonzalez Hernandez

Associate Professor, Division of Informatics, Perelman School of Medicine, University of Pennsylvania

3:10 – 3:30

Coffee Break (Mezzanine)

3:30 – 4:45

Panel - Patient Engagement

Amar Das (Moderator)

Director, Healthcare Effectiveness Research Cambridge Location Executive

Bobak Mortazavi

Instructor in Cardiology, Yale University School of Medicine, Center for Outcomes Research & Evaluation (CORE)

Ching-Hua Chen

Research Staff Member and Manager, Behavioral Health, IBM Research

Lisa Marsch

Center Director, Center for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth College

4:45 - 5:00

Closing Remarks

Amar Das

 

5:00

Adjourn

If you have any questions, please contact any member of the IBM Computational Health Summit Organizing Committee listed below.

IBM T. J. Watson Research Computational Health Summit Organizers:

Chairs:

  • Jianying Hu
  • Amar Das

Organizing Committee:




Health Care Analytics

Research, development and application of data mining and machine learning techniques to analyze, model and derive insights from real world healthcare data.


Computational Health Behavior & Decision Science

Computational methods to recognize behaviors from data, compare alternative intervention programs and deliver data-driven insights to individuals in a way that motivates and supports behavior change