Our Team

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

Patricia Raciti, MD
Patricia Raciti, MD
Pathologist

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

Yudit Mosh
Yudit Mosh
Office Manager

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

Thomas Fresneau
Thomas Fresneau
Lead Back End Engineer

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

Ran Godrich
Ran Godrich
AI 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.

David Klimstra, MD
Founder & Advisor
David Klimstra, MD
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.

Paul Tatarsky
Paul Tatarsky
HPC Advisor

Has been a systems administrator for 30 years in university, corporate and government environments. Specializations include security assessment and intrusion detection along with numerous high performance computing projects in genomic and cancer research fields.

Thomas Fuchs, Dr.Sc.
Thomas Fuchs, Dr.Sc.
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.

Belma Dogdas, PhD
Senior Principal Scientist
Belma Dogdas, PhD
Senior Principal Scientist

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.

Brandon Rothrock, PhD
Senior AI Scientist
Brandon Rothrock, PhD
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.

Jeremy Kunz
Jeremy Kunz
AI Research Engineer

Rodrigo Ceballos
Rodrigo Ceballos
AI Research Engineer

Experienced in the development of machine vision systems for microscopy images and statistical modeling of medical data. Recently finished a joint MSc in Neural System and Computation from ETH and the University of Zurich.

Kevin Fitzpatrick
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.

Bhavana Mallineni
Bhavana Mallineni
Front-End Developer

Front end Developer with a demonstrated history of working in information technology and services industry to help design,build and enhance responsive web applications.Recently completed MS in Computer Science at Northern Illinois University.

Supriya Kapur
Supriya Kapur
AI 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.

Peter Schüffler, Dr.Sc.
Lead Machine Learning Scientist
Peter Schüffler, Dr.Sc.
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.

Xin Qi, PhD
Xin Qi, PhD
Senior AI Scientist

Received her Ph.D. in Biomedical Engineering at Case Western Reserve University. Postdoctoral research focus in computational pathology, machine learning, medical informatics and computer-aided diagnosis, and is also currently an Adjunct Assistant Professor at Rutgers University.

Our Investors

Our History

With the shift towards digital pathology in leading hospital centers over the last couple of years, there has been no better time for PAIGE to usher in a new era of pathology

2008

We published the first computational pathology paper and validated AI’s level of accuracy on the survival of renal cancer patients

2011

We published the first review article about computational pathology

2013

Digitization of clinical pathology slides at MSKCC

2016

Build deeper learning models for cancer detection, segmentation, classification, and patient stratificiation

2018

Launch of Paige AI

2008

We published the first computational pathology paper and validated AI’s level of accuracy on the survival of renal cancer patients

2011

We published the first review article about computational pathology

2013

Digitization of clinical pathology slides at MSKCC

2016

Build deeper learning models for cancer detection, segmentation, classification, and patient stratificiation

2018

Launch of PAIGE

Our Culture

Join Us

We are building a unique team of scientists, engineers, business leaders and healthcare experts to create the dominating AI in pathology.