Cornell NIH T32 Program in Artificial Intelligence and Precision Nutrition
The Cornell AIPrN training program represents the first institutional training grant focused on the intersection of Artificial Intelligence and nutrition and is supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health. The training program is designed to train the next generation of scientists and build a workforce equipped with expertise in Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health using high dimensional data. The program will bring together faculty from Cornell University’s Ithaca, Cornell Tech, and Weill Cornell Medicine campuses, West Point, and University of California San Diego from the fields of nutrition, medicine, health and biomedical sciences, computer and information sciences, data science, engineering, and bioinformatics with core competencies in computational methodology, data science, systems science, ML, AI, and data infrastructure. The program is directed by Professor Saurabh Mehta and the co-directors include Professors Deborah Estrin (Cornell Tech), Thorsten Joachims (Bowers CIS), Martin Wells (Bowers CIS), Rulla Tamimi (Weill Cornell Medicine), David Erickson (Engineering), and Diana Thomas (USMA West Point). The participating faculty who serve as T32 trainers and their areas of interest and/or graduate fields are listed below.
Nutrition
Saurabh Mehta, MBBS, ScD - Janet and Gordon Lankton Professor, Director of the T32 Program
Kimberly O. O’Brien, PhD - Professor
Julia L. Finkelstein, MPH, ScD - Associate Professor
Martha Field, PhD - Assistant Professor
Computer and Information Science
Deborah Estrin, PhD - Professor (Digital Health Entrepreneurship, Technology Translation), co-Director of the T32 Program
Thorsten Joachims, PhD - Professor (Machine Learning Methods and Theory), co-Director of the T32 Program
Martin Wells, PhD - Professor (ML, Statistics, Data Science, Epidemiology), co-Director of the T32 Program
Diana Thomas, PhD - Professor (USMA West Point), co-Director of the T32 Program (AI, ML, Big Data and Nutrition)
Fei Wang, PhD - Professor (AI, Digital Health)
Carla Gomes, PhD - Professor (AI for Science, Computational Sustainability)
Jyotishman Pathak, PhD - Professor (Bioinformatics, Bioethics, AI, Mental Health, Interoperability of Data)
Haym Hirsh, PhD - Professor (AI, ML)
Sumanta Basu, PhD - Associate Professor (ML, network modeling of high-dimensional time series and nonlinear ensemble learning methods)
Jason Mezey, PhD - Professor (Computational Biology; computational statistics and machine learning methodology to answer questions about complex phenotypes)
Mark Weiner, MD - Professor (ML, Improving data quality in EHRs)
Yiye Zhang, PhD - Assistant Professor (ML and Data Mining)
Volodymyr Kuleshov, PhD - Assistant Professor (ML and its applications in science, health, and sustainability)
Biomedical Disciplines
Rulla Tamimi, ScD - Professor (Epidemiology, Cancer), co-Director of the T32 Program
David Erickson, PhD - Sibley College Professor (Biomedical Engineering), co-Director of the T32 Program
Andrew Clark, PhD - Professor (Computational Biology, Population Genetics)
Jesse Goldberg, MD, PhD - Associate Professor (Neurobiology and Behavior)
Yiwey Shieh, MD - Assistant Professor (Personalized Prevention and Screening, Precision Medicine, Cancer)
Advisory Board
Kavita Bala, PhD - Dean, Ann S. Bowers College of Computing and Information Science
Avery August, PhD - Deputy Provost, Cornell University
Olivier Elemento, PhD - Director, Englander Institute for Precision Medicine at Weill Cornell Medicine
Patricia A. Cassano, PhD - Director, Division of Nutritional Sciences