Research Faculty & Staff

6658 Research Faculty & Staff found
The Maria Jasin Lab
Francesca Cole, PhD
Postdoctoral Fellow
Current Position: Assistant Professor, Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smith...
Memorial Hospital Research Laboratories
Jonathan Coleman, MD
Jonathan Coleman is a physician-scientist focused on translational research, cancer genomics, and patient-derived organoid models in the study of urologic malignancies. Ongoing work includes the development of local ablative therapies, their influence on the tumor microenvironment, and implications for therapy response.
The Anna-Katerina Hadjantonakis Lab
Lydia Coleman
Administrative Assistant
Current Position: Project coordinator, Memorial Sloan-Kettering Cancer Center (MSKCC), New York, New York...
The Melinda Diver Lab
Abbie Collette
Graduate Student; Weill Cornell BCMB Allied Program
Abbie grew up in Maine and attended Mount Holyoke College to study biochemistry and psychology. Upon graduation, she completed a three-year postbaccala...
The Lee Jones Lab
Kereshmeh (Keri) Collins
Exercise Physiologist
From Atlanta, Georgia Program responsibilities Remote exercise intervention ...
Genomics, Risk, and Health Decision-Making Laboratory
Rosario Colon
Office Coordinator
Rosario Colon is an Office Coordinator who supports Dr. Hay and Dr. Hamilton. She primarily works to anticipate and address the administrative needs of...
The Prasad Adusumilli Lab
Christos Colovos, MD
Research Fellow
Awards and Scholarships 2011 Society of Thoracic Surgeons’ “Look to the Future” Scholarship Current Employment Assistant Prof...
The Jayanta Chaudhuri Lab
Montserrat Cols Vidal, PhD
Lab Manager
The Prasad Adusumilli Lab
Steven Composto
Research Technician
Current Employment GE Healthcare, South Plainfield, NJ. ...
Computational Image Analysis Laboratory
The Computational Image Analysis Laboratory is dedicated to advancing cancer research and clinical practice by analyzing cancer imaging phenotypes and integrating genotypes using state-of-the-art image processing, radiomics, and deep learning techniques, with the goal of enhancing clinical decision-making in personalized precision oncology.