Our Team

PAIGE is being built by an outstanding group of experts in machine learning, pathology, and healthcare.

Thomas Fuchs
Thomas Fuchs
Founder and Chief Scientific Officer

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.

David Klimstra
Founder & Advisor
David Klimstra
Founder & Advisor

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.

Norman Selby
Founder & Executive Chairman
Norman Selby
Founder & Executive Chairman

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.

Peter Schüffler
Lead Machine Learning Scientist
Peter Schüffler
Lead Machine Learning Scientist

Senior Computational Pathologist at MSK. 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.

Helen Melville
People & Operations Manager
Helen Melville
People & Operations Manager

Has a substantial background in Human Resources and has previously filled roles within the insurance, banking and healthcare industries.

Brandon Rothrock
Senior AI Scientist
PAIGE | Team
Brandon Rothrock
Senior AI Scientist

Jillian Sue
Jillian Sue
Product Manager

Has several years of experience in the healthcare industry, including research, pharmaceuticals, and hospital administration, and just completed her MS in Information and Computer Science at Cornell Tech.

Kulin Seth
Lead Research Engineer
Kulin Seth
Lead Research Engineer

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.

Thomas Fresneau
Thomas Fresneau
Lead Backend Developer

Senior software engineer with over ten years of experience building solutions for life science and healthcare industries. Specialized in developing clinical medical software solutions.

Supriya Kapur
Supriya Kapur
Research Engineer

Has experience with neural network optimization, training, and testing at Intel Labs and recently completed a BS in Computer Science at Oregon State University.

Ran Godrich
Ran Godrich
Research Engineer

Developed machine learning and computer vision systems for analysis of biomedical data at Weill Cornell Medical College and recently completed MS in Information and Computer Science at Cornell Tech.

Patricia Raciti
PAIGE | Team
Patricia Raciti
Pathologist

Pathologist and former Oncologic Surgical Pathology Fellow at MSKCC. Trained in general anatomic and clinical pathology, hematopathology and dermatopathology.

Kevin Fitzpatrick
PAIGE | Team
Kevin Fitzpatrick
Senior Advisor

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.

Yudit Mosh
PAIGE | Team
Yudit Mosh
Office Manager

Has a multifaceted background with recent experience in office administration, marketing, and project management.

Our Investors

Join Us

We are building the finest team of Machine Learning experts and pathologists from around the world.