The David H. Koch Institute for Integrative Cancer Research at MITThe David H. Koch Institute for Integrative Cancer Research at MIT

Massachusetts Institute of Technology

National Cancer Institute Cancer Center

Science + Engineering... Conquering Cancer Together

Summer Symposium 2019

Machine Learning and Cancer

The 18th Annual Koch Institute Summer Symposium on June 14, 2019 at MIT's Kresge Auditorium will focus on Machine Learning and Cancer.

Both fields are undergoing dramatic changes, and their integration holds great promise for cancer research, diagnostics, and therapeutics. Cancer treatment and research have advanced rapidly with an increasing reliance on data-driven decisions. The volume, complexity, and diversity of research and clinical data—from genomics and single-cell molecular and image-based profiles to histopathology, clinical imaging, and medical records—far surpasses the capacity of individual scientists and physicians. However, they offer a remarkable opportunity to new approaches for data science and machine learning to provide holistic and intelligible interpretations to trained experts and patients alike. These advances will make it possible to provide far better diagnostics, discover possible chemical pathways for de novo synthesis of therapeutic compounds, predict accurately the risk of individuals for development of specific cancers years before metastatic spread, and determine the combination of agents that  will stimulate immune rejection of a tumor or selectively induce the death of all cells in a tumor.

The symposium will address these issues through three sessions:

  • Machine Learning in Cancer Research: the Need and the Opportunity
  • Machine Learning to Decipher Cellular and Molecular Mechanisms in Cancer
  • Machine Learning into the Clinic

Sessions will be followed by a panel discussion of broadly informed experts moderated by MIT President Emerita Susan Hockfield.

Introductory remarks will be given by symposium co-chairs and Koch Institute faculty members Regina Barzilay, Aviv Regev and Phillip Sharp. 

Keynote Speakers | Machine Learning in Cancer Research: the Need and the Opportunity


James P. Allison, PhD
MD Anderson Cancer Center

Regina Barzilay, PhD
MIT Computer Science and Artificial Intelligence Lab, Koch Institute for Integrative Cancer Research at MIT

Aviv Regev, PhD
Broad Institute, Koch Institute for Integrative Cancer Research at MIT

Session Speakers


Michael R. Angelo, MD, PhD
Stanford Unviersity

Andrew Beck
PathAI 

Stephen H. Friend, MD, PhD
Sage Bionetworks 

Tommi Jaakkola, PhD
MIT Computer Science and Artificial Intelligence Lab

Dana Pe’er, PhD
Memorial Sloan Kettering Cancer Center

Peter Sorger, PhD
Harvard Medical School

Olga Troyanskaya, PhD
Princeton University

Brian Wolpin, MD
Dana-Farber Cancer Institute

Panel Discussion | Big Data, Computation and the Future of Health Care


James (Jay) Bradner, MD
Novartis

Aine Hanly, PhD 
Amgen

Clifford A. Hudis, MD
American Society of Clinical Oncology

Constance D. Lehman, MD, PhD
Massachusetts General Hospital

Norman (Ned) Sharpless, MD
National Cancer Institute

Moderator: Susan Hockfield, PhD
Koch Institute for Integrative Cancer Research at MIT

Event Information