“The flagship research projects of the MIT-Takeda Program offer real promise to the ways we can impact human health. We are delighted to have the opportunity to collaborate with Takeda researchers on advances that leverage AI and aim to shape health care around the globe.”

— Jim Collins, MIT-Takeda Program faculty lead

Discovering human-microbiome protein interactions with continuous distributed representation

  • Jim Collins, Termeer Professor of Medical Engineering and Science; Professor, Biological Engineering and MIT’s Institute for Medical Engineering and Science; Faculty Co-Lead, Jameel Clinic; Faculty Lead and Joint Steering Committee Member, MIT-Takeda Program
  • Andrew Krueger, Senior Scientist, Global Computational Biology
  • Timothy Lu, Associate Professor, Electrical Engineering and Computer Science and Biological Engineering

Machine learning for early diagnosis, progression risk estimation, and identification of non-responders to conventional therapy for inflammatory bowel disease

  • Peter Szolovits, Professor, Electrical Engineering and Computer Science
  • David Sontag, Hermann L. F. von Helmholtz Professor; Associate Professor, Electrical Engineering and Computer Science and MIT’s Institute for Medical Engineering and Science
  • Pravin Kamble, Associate Director, Global Evidence and Outcomes-Gastroenterology
  • Michelle Luo, Head, Global Evidence and Outcomes-Gastroenterology

Machine learning for image-based liver phenotyping and drug discovery

  • Polina Golland, Henry Ellis Warren (1894) Professor; Professor, Electrical Engineering and Computer Science
  • Brian W. Anthony, Principal Research Scientist, Mechanical Engineering
  • Peter Szolovits, Professor, Electrical Engineering and Computer Science
  • Jenifer Siegelman, Cell Therapy Translational Engine – Physician (Clinical) Lead, Pharmaceutical Sciences
  • Jim Hacunda, R&D Digital Strategy Lead, Data Sciences Institute 

 

Predictive in silico models for cell culture process development for biologics manufacturing

  • Jackie Gonzalez, Staff Engineer CMC, Biologics Process Development.
  • Connor W. Coley, Henri A. Slezynger (1957) Career Development Professor; Assistant Professor, Chemical Engineering and Electrical Engineering and Computer Science
  • J. Christopher Love, the Raymond A. (1921) and Helen E. St. Laurent Professor of Chemical Engineering
  • Shan Tie, Senior Process Development Engineer* led year 1 of a 2 year project while working at Takeda

Automated data quality monitoring for clinical trial oversight via probabilistic programming

  • Jianchang Lin, Director Statistics, Oncology Stats
  • Wenwen Zhang, Associate Director, Statistical & Quantitative Sciences, Gastroenterology
  • Vikash Mansinghka, Principal Research Scientist in the Department of Brain and Cognitive Sciences
  • Tamara Broderick, Associate Professor, Electrical Engineering and Computer Science
  • David Sontag, Hermann L. F. von Helmholtz Professor; Associate Professor, Electrical Engineering and Computer Science and MIT’s Institute for Medical Engineering and Science
  • Sheela Kolluri, Senior Director, Statistics, Statistical and Quantitative Sciences* led year 1 of a 2 year project while working at Takeda

Time series analysis from video data for optimizing and controlling unit operations in production and manufacturing

  • Allan S. Myerson, Professor of the Practice, Chemical Engineering
  • George Barbastathis, Professor, Mechanical Engineering
  • Richard Braatz, Edwin R. Gilliland Professor of Chemical Engineering
  • Tolutola Oyetunde, Senior Scientist, Digital CMC
  • Michael Schwaerzler, Head, Computational Technology and Collective Intelligence
  • Bernhardt Trout, Raymond F. Baddour, Sc.D., (1949) Chemical Engineering Professor

Automating adverse effect assessments and scientific literature review

  • Regina Barzilay, School of Engineering Distinguished Professor for AI and Health; Professor, Electrical Engineering and Computer Science; Jameel Clinic faculty co-lead
  • Tommi Jaakkola, Thomas M. Siebel Distinguished Professor; Professor, Electrical Engineering and Computer Science and MIT’s Institute for Data, Systems, and Society
  • Jacob Andreas, X-Window Consortium Career Development Professor; Assistant Professor, Electrical Engineering and Computer Science
  • Nathan Nyein, Associate Director, Global Patient Safety & Evaluation
  • Antonia Panayi, Senior Director Medical Information, Global Medical Affairs Medical Function
  • Amir Benhadji-Schaff, Head, GMA Business Solutions & Analytics, Global Medical Affairs Medical Function
  • Aleksandra Seifert, Senior Director, Global Patient Safety & Evaluation

Automated analysis of speech and language deficits for frontotemporal dementia

  • James Glass, Senior Research Scientist, MIT’s Computer Science and Artificial Intelligence Laboratory
  • Sanjay Sarma, Fred Fort Flowers (1941) and Daniel Fort Flowers (1941) Professor in Mechanical Engineering; Vice President, Open Learning
  • Brian Subirana, Research Scientist; Director, MIT Auto-ID Laboratory; Director, MIT and Accenture Convergence Initiative for Industry and Technology
  • Brian Tracey, Scientific Fellow, Quantitative Sciences

AI-enabled, automated inspection of lyophilized products in sterile pharmaceutical manufacturing

  • Duane Boning, Clarence J. LeBel Professor in Electrical Engineering and Computer Science
  • Luca Daniel, Professor, Electrical Engineering and Computer Science
  • Gerhard Muhrer, Senior Director, Head of R&D Quality Compliance and Systems
  • Sanjay Sarma, Fred Fort Flowers (1941) and Daniel Fort Flowers (1941) Professor in Mechanical Engineering; Vice President, Open Learning
  • Brian Subirana, Research Scientist; Director, MIT Auto-ID Laboratory; Director, MIT and Accenture Convergence Initiative for Industry and Technology
  • Linda Wilding, Portfolio Manager Digital & Data Science