Our Team

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

Leo Grady, PhD
Chief Executive Officer

Seasoned healthcare technology leader with 15+ years of experience in prototyping, developing, and bringing to market advanced machine learning, computer vision, and medical imaging technologies and products. Former SVP of Engineering for HeartFlow, where he led full stack technology and product development efforts for HeartFlow’s cardiovascular software and drove HeartFlow’s IP portfolio. Before that, served in a variety of leadership roles at Siemens. Author of two published books, over 100 peer-reviewed journal and conference papers, and has over 300 issued or pending patents worldwide. Inducted as a Fellow in the American Institute for Medical and Biological Engineering in 2014. 2012 recipient of the Edison Patent Award in medical imaging. B.Sc. degree in Electrical Engineering at the University of Vermont. Ph.D. in Cognitive and Neural Systems from Boston University.

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.

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.

Norman Selby
Founder & Director
Norman Selby
Founder & Director

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.

Chris Kanan, PhD
Chris Kanan, PhD
Senior AI Scientist

AI expert with an emphasis in deep learning and computer vision. Visiting Professor at Cornell Tech. Assistant Professor at the Rochester Institute of Technology (RIT), where he runs a laboratory working on lifelong machine learning and language guided image/video understanding. Associate Director of RIT's Center for Human-aware AI. Former Research Technologist at NASA's Jet Propulsion Laboratory in Pasadena. Postdoc at Caltech focusing on deep learning. PhD in Computer Science from UC San Diego, where he worked on machine learning, computer vision, and computational cognitive neuroscience.

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

She has previously led the Image Data Analytics program at Merck. Her research focus is in machine learning, medical image analysis, computational pathology and predictive biomarkers. Prior to joining Merck, she received M.S. and Ph.D. degrees from University of Southern California, Electrical Engineering Department in 2002 and 2007 respectively. She, also, holds a B.S. degree from Bilkent University, Turkey in Electrical and Electronics Engineering Department in 2000. She is a Senior Member of the IEEE Engineering in Medicine and Biology society.

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

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.

Jason Locke
Jason Locke
Principal of UX

Seasoned User Experience leader with 15+ years of experience in User Research, UX Design, User Testing, Performance Metrics and Product Development across multiple industries and organization sizes. Jason has been a lifelong student of mathematics, psychology and biology. An expert Product Owner, he brings a rich history of cross-functional and user collaboration to successfully bring innovative product visions to market. As former VP of UX and Design at Houghton Mifflin Harcourt, he lead a team of 90+ in the research and design of an advanced learning platform driven by machine learning.

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.

Dan Greene
Dan Greene
DevOps Engineer

Has 20 years of experience in various it operations and development roles with heavy focus on automating the software development lifecycle. Specialties include software configuration and release management in highly transactional environments.

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.

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.

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.

Bhavana Mallineni
Bhavana Mallineni
Front End Engineer

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.

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.

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.

Jeremy Kunz
Jeremy Kunz
AI Research Engineer

Adam Casson
Adam Casson
AI Research Engineer

Has experience in deep learning for both computer vision and natural language processing. Former machine learning engineer at a Comcast-NBCUniversal research lab. Completed a BS in Imaging Science from the Rochester Institute of Technology (RIT).

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.

Zheng Li
Software Engineer, Framework Development
Zheng Li
Software Engineer, Framework Development

Zheng has more than 8 years of experience on high-performance system-level software design and development. Zheng was the lead developer at Bitfusion.io in building a high-performance software layer that virtualizes heterogeneous hardware such as GPUs (Graphics Processing Units), enabling elastic attach/detach of GPUs for applications like machine learning. Prior to that, Zheng was a senior compiler software engineer at NVIDIA, developing the back-end optimizing compiler, a critical software component in NVIDIA's display driver and offline tools that is responsible for generating high-performance machine code for GPUs. Zheng holds a BE and a MS in Materials Science and Engineering from Tsinghua University and University of Pennsylvania, respectively, and a MS in Computer Science from University of Texas at Austin.

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.

Bart Carlucci
Senior Technical Recruiter
Bart Carlucci
Senior Technical Recruiter

With a deep interest in Technology and Biological Sciences, Bart brings an extensive background in full-desk recruitment across multiple domains including Tech Startup, FinTech, AdTech, and Electronic Trading.

Quynh Nguyen
Office Manager/Executive Assistant
Quynh Nguyen
Office Manager/Executive Assistant

Has several years of experience in Business Administration across different verticals, including IT Security. Has a deep interest in Healthcare innovations and an MBA in Healthcare Management from University of Rochester, Simon Business School.

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.