PAIGE is being built by an outstanding group of experts in machine learning, pathology, and healthcare.
Director of Computational Pathology Lab at Memorial Sloan Kettering Cancer Center and professor for Machine Learning at Weill Cornell. Former research technologist at NASA's Jet Propulsion Laboratory in Pasadena. Postdoctoral research focus in computer vision, medical imaging at Caltech. PhD in Machine Learning from ETH Zurich.
James Ewing Alumni Chair of the Department of Pathology at Memorial Sloan Kettering Cancer Center. Surgical pathologist with nearly 30 years of broad diagnostic experience. Internationally recognized author and translational researcher, with a dedication to the evaluation and implementation of novel diagnostic technologies in pathology laboratories.
35 years in healthcare industry. Former Senior Partner at McKinsey And Company. Former CEO, TransForm Pharmaceuticals. Currently on the Board of Trustees, and Executive Committee, of MSK.
Senior Computational Pathologist, recieved his PhD of Science at the ETH Zurich, Switzerland. Over ten years of experience and over 30 publications in Machine Learning, Medical Image Data Analysis in Pathology and Radiology, Biostatistics, and Software Development from numerous translational projects.
Has 10+ years of experience in systems software development (OS drivers, compilers etc.) and GPUs at several large companies like Qualcomm, VMware and Analog Devices in different domains like virtualization, HPC and embedded systems. Also has several years of experience developing Machine Learning pipelines and compute acceleration using CUDA/OpenCL.
Pathologist and former Oncologic Surgical Pathology Fellow at MSKCC. Trained in general anatomic and clinical pathology, hematopathology and dermatopathology.
He served as the first CEO of CancerLinQ™and led its rapid nationwide adoption and initial strategic transaction. Prior to CancerLinQ™, he served for seven years as the Executive Vice President and Chief Innovation Officer of the American College of Cardiology, where he jointly led the organization’s overall operational and strategic planning.
Scientific Advisory Board
Board-certified medical oncologist who works to develop molecularly targeted cancer therapies, with a special focus on breast cancer. He joined Memorial Sloan Kettering as Physician-in-Chief and Chief Medical Officer in 2013 from Massachusetts General Hospital (MGH), where he was Chief of the Division of Hematology/Oncology and Associate Director of the MGH Cancer Center.
Associate Dean and Professor of Computer Science at Cornell Tech in New York City and a Professor of Public Health at Weill Cornell Medical College. She is founder of the Health Tech Hub and directs the Small Data Lab at Cornell Tech, which develops new personal data APIs and applications for individuals to harvest the small data traces they generate daily. Estrin is also co-founder of the non-profit startup, Open mHealth.
Chief Data Scientist at Human Longetivity leading an advanced analytics team. Former Microsoft researcher, leading first team on machine learning. Led Microsoft Genomics team, advancing research in genomics and computational biology and supporting Microsoft cloud services for genomics.
Professor at Cornell Tech and the Department of Computer Science at Cornell University. His research interests include Computer Vision, Machine Learning, Crowdsourcing and Human-in-the-Loop Computing. He is also a co-founder of several companies including Digital Persona, Anchovi Labs and Orpix. He is a recipient of the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review “Innovators Under 35” Award and the Helmholtz Prize for fundamental contributions in Computer Vision.
Vice Chair of Dept. of Pathology, Director of Genitourinary Pathology and Pathology Core Facility at Memorial Sloan Kettering Cancer Center. Co-Director of NIH/NCI sponsored SPORE in Prostate Cancer Pathology Core and Cancer Center Support Grant. Director of Path Tissue Research Utilization Committee, GU Path Research Lab, Immunohistochemistry Research Core Lab.