Memorial Hospital Research Laboratories

The Thomas Fuchs Lab

Research

Thomas Fuchs
Thomas J. Fuchs, Dr. Sc.

Our laboratory focuses on research in the novel field of computational pathology. We develop and apply quantitative methods for the analysis of digital microscopy slides and relate the resulting statistical descriptors to patient outcomes. Specifically, we use supervised and unsupervised machine-learning algorithms and methods from computer vision and biostatistics to extract information from terabytes of data generated by modern pathology departments to gain insight into research questions such as how genetic mutations influence tissue morphology or which combinations of immunohistochemical markers predict patient survival. In addition to these research questions, we aim to improve clinical practice in pathology by developing intelligent decision-support systems that not only automate cumbersome or repetitive tasks but also lead to more-objective and reproducible results. The overarching goal is to lead the way in transforming pathology from a qualitative to a quantitative science.

The Thomas Fuchs Lab

Publications

Fuchs, Thomas J., and Joachim M. Buhmann. “Computational pathology: Challenges and promises for tissue analysis.” Computerized Medical Imaging and Graphics 35.7 (2011): 515-530.

Fuchs, Thomas J., Peter Wild, Holger Moch, and Joachim Buhmann. “Computational pathology analysis of tissue microarrays predicts survival of renal clear cell carcinoma patients.” Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008 (2008): 1-8.

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People

Thomas Fuchs

Thomas J. Fuchs, Dr. Sc.

  • Data scientist Thomas Fuchs develops and applies advanced machine learning and computer vision techniques for tackling large-scale computational pathology challenges in cancer research and clinical practice.
fuchst@mskcc.org
Email Address
646-888-8020
Office Phone

Members

Patricia Ashby

Administrative Assistant

Gabriele Campanella
Gabriele Campanella

PhD Candidate

Chao Feng
Chao Feng

PhD Candidate

Luke Geneslaw
Luke Geneslaw

Sr. Software Engineer

Ida Häggström
Ida Häggström

Research Associate

David Ho
David Ho

Machine Learning Scientist

Marc-Henri Jean
Marc-Henri Jean

Lab Aide

Dig Vijay Kumar Yarlagadda, Machine Learning Engineer
Dig Vijay Kumar Yarlagadda

Machine Learning Engineer

Hassan Muhammad
Hassan Muhammad

PhD Candidate

Andrew Schaumberg
Andrew Schaumberg

PhD Candidate

Peter Schueffler, PhD
Peter Schueffler

Machine Learning Scientist

Christina M. Virgo
Christina M. Virgo

Project Portfolio Manager

Chensu Xie
Chensu Xie

PhD Candidate

Lab Alumni
Amanda Beras
Amanda Beras

Administrative Assistant

Jeremy Kunz

Graduate Research Assistant

Arjun Raj Rajanna
Arjun Raj Rajanna

Research Assistant

Talia Wise

Intern

Lab Affilations

Open Positions

Graduate Training

The Thomas Fuchs Lab welcomes applications for graduate training positions.

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Postdoctoral Positions

The Thomas Fuchs Lab welcomes applications for postdoctoral positions.

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Get in Touch

Disclosures

Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.

MSK requires doctors and faculty members to report (“disclose”) the relationships and financial interests they have with external entities. As a commitment to transparency with our community, we make that information available to the public.

Thomas J. Fuchs discloses the following relationships and financial interests:

  • Association for Pathology Informatics
    Provision of Services (uncompensated)
  • German Physical Society
    Provision of Services (uncompensated)
  • Nature
    Provision of Services (uncompensated)
  • Paige.AI, Inc.
    Fiduciary Role/Position; Intellectual Property Rights; Ownership / Equity Interests; Provision of Services (uncompensated)

The information published here is for a specific annual disclosure period. There may be differences between information on this and other public sites as a result of different reporting periods and/or the various ways relationships and financial interests are categorized by organizations that publish such data.


This page and data include information for a specific MSK annual disclosure period (January 1, 2019 through disclosure submission in spring 2020). This data reflects interests that may or may not still exist. This data is updated annually.

Learn more about MSK’s COI policies here. For questions regarding MSK’s COI-related policies and procedures, email MSK’s Compliance Office at ecoi@mskcc.org.


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