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    INFORMATION FOR

    Peter Gershkovich, MD, MHA

    Associate Professor of Pathology
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    Additional Titles

    Director, Section of Pathology Informatics and Cancer Data Science, Pathology

    About

    Titles

    Associate Professor of Pathology

    Director, Section of Pathology Informatics and Cancer Data Science, Pathology

    Biography

    Dr. Gershkovich joined Pathology Department in 2004 shortly after completing the NLM funded fellowship training at Yale Center for Medical Informatics. Since that time, he led the development of novel, cutting-edge software to mesh emerging technologies with existing commercial Laboratory Information System, robotic laboratory instruments, Digital Pathology equipment, and the Hospital EMR.

    Dr. Gershkovich is interested in clinical systems engineering, information visualization, DNA sequencing analysis, NLP, and full-text search of clinical data. He is currently focusing on how to better assemble, compile, and deliver relevant information at the point where a clinical decision needs to be made.

    The underlying philosophy in his software development is pragmatic reasoning which typically leads to the development of working systems that have meaningful impact on clinical care. The systems developed by his engineering group integrate into the daily workflow of the Pathology Department improving quality and efficiency of patient care and clinical operations.

    At the onset of COVID epidemics, his group rapidly created and deployed a suite of software modules to support SARS-CoV-2 testing, further demonstrating that implanting software engineering activities in clinical services and translational research is essential for modern patient care.

    This work is critical for patient safety, the integration and accuracy of new diagnostic techniques, continuous quality improvement, and impactful workflow reengineering in medicine.

    Last Updated on April 07, 2025.

    Appointments

    • Pathology

      Associate Professor on Term
      Primary
      Pathology

    Other Departments & Organizations

    Education & Training

    Fellow
    Yale University, Yale Center for Medical Informatics (2002)
    MHA
    Suffolk University (1996)
    MD
    Altai State Medical University (1987)

    Research

    Overview

    "Processing information faster and more efficiently, which today's technology can easily accomplish, is not sufficient. More intelligent processing, logical aggregation of information, synthesis, and analysis, and the development of knowledge systems that serve purposeful ends are needed." This is a quote from 1992 charter of NLM fellowship in applied informatics when it was just established remains even more relevant and critical today.

    I have strong interest in rapid development methodologies and working on software that deals with systems integration and interoperability, supports Tumor DNA sequencing reporting, enables laboratory integration of digital pathology, and assists with analytics, information retrieval, and visualization.


    Research at a Glance

    Yale Co-Authors

    Frequent collaborators of Peter Gershkovich's published research.

    Publications

    2025

    2023

    2022

    • NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health
      Lee P, Benz C, Blood P, Börner K, Campisi J, Chen F, Daldrup-Link H, De Jager P, Ding L, Duncan F, Eickelberg O, Fan R, Finkel T, Furman D, Garovic V, Gehlenborg N, Glass C, Heckenbach I, Joseph Z, Katiyar P, Kim S, Königshoff M, Kuchel G, Lee H, Lee J, Ma J, Ma Q, Melov S, Metis K, Mora A, Musi N, Neretti N, Passos J, Rahman I, Rivera-Mulia J, Robson P, Rojas M, Roy A, Scheibye-Knudsen M, Schilling B, Shi P, Silverstein J, Suryadevara V, Xie J, Wang J, Wong A, Niedernhofer L, Wang S, Anvari H, Balough J, Benz C, Bons J, Brenerman B, Evans W, Gerencser A, Gregory H, Hansen M, Justice J, Kapahi P, Murad N, O’Broin A, Pavone M, Powell M, Scott G, Shanes E, Shankaran M, Verdin E, Winer D, Wu F, Adams A, Blood P, Bueckle A, Cao-Berg I, Chen H, Davis M, Filus S, Hao Y, Hartman A, Hasanaj E, Helfer J, Herr B, Joseph Z, Molla G, Mou G, Puerto J, Quardokus E, Ropelewski A, Ruffalo M, Satija R, Schwenk M, Scibek R, Shirey W, Sibilla M, Welling J, Yuan Z, Bonneau R, Christiano A, Izar B, Menon V, Owens D, Phatnani H, Smith C, Suh Y, Teich A, Bekker V, Chan C, Coutavas E, Hartwig M, Ji Z, Nixon A, Dou Z, Rajagopal J, Slavov N, Holmes D, Jurk D, Kirkland J, Lagnado A, Tchkonia T, Abraham K, Dibattista A, Fridell Y, Howcroft T, Jhappan C, Montes V, Prabhudas M, Resat H, Taylor V, Kumar M, Suryadevara V, Cigarroa F, Cohn R, Cortes T, Courtois E, Chuang J, Davé M, Domanskyi S, Enninga E, Eryilmaz G, Espinoza S, Gelfond J, Kirkland J, Kuchel G, Kuo C, Lehman J, Aguayo-Mazzucato C, Meves A, Rani M, Sanders S, Thibodeau A, Tullius S, Ucar D, White B, Wu Q, Xu M, Yamaguchi S, Assarzadegan N, Cho C, Hwang I, Hwang Y, Xi J, Adeyi O, Aliferis C, Bartolomucci A, Dong X, DuFresne-To M, Ikramuddin S, Johnson S, Nelson A, Niedernhofer L, Revelo X, Trevilla-Garcia C, Sedivy J, Thompson E, Robbins P, Wang J, Aird K, Alder J, Beaulieu D, Bueno M, Calyeca J, Chamucero-Millaris J, Chan S, Chung D, Corbett A, Gorbunova V, Gowdy K, Gurkar A, Horowitz J, Hu Q, Kaur G, Khaliullin T, Lafyatis R, Lanna S, Li D, Ma A, Morris A, Muthumalage T, Peters V, Pryhuber G, Reader B, Rosas L, Sembrat J, Shaikh S, Shi H, Stacey S, Croix C, Wang C, Wang Q, Watts A, Gu L, Lin Y, Rabinovitch P, Sweetwyne M, Artyomov M, Ballentine S, Chheda M, Davies S, DiPersio J, Fields R, Fitzpatrick J, Fulton R, Imai S, Jain S, Ju T, Kushnir V, Link D, Ben Major M, Oh S, Rapp D, Rettig M, Stewart S, Veis D, Vij K, Wendl M, Wyczalkowski M, Craft J, Enninful A, Farzad N, Gershkovich P, Halene S, Kluger Y, VanOudenhove J, Xu M, Yang J, Yang M. NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health. Nature Aging 2022, 2: 1090-1100. PMID: 36936385, PMCID: PMC10019484, DOI: 10.1038/s43587-022-00326-5.
      Peer-Reviewed Original Research
    • Systems approach to enhance Lynch syndrome diagnosis through tumour testing
      Singh V, Mezzacappa C, Gershkovich P, Di Giovanna J, Ganzak A, Gibson J, Sinard J, Xicola RM, Llor X. Systems approach to enhance Lynch syndrome diagnosis through tumour testing. Journal Of Medical Genetics 2022, 60: 533-539. PMID: 36115663, PMCID: PMC10020126, DOI: 10.1136/jmg-2022-108770.
      Peer-Reviewed Original Research

    2021

    See All Publications

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    Contacts

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    Academic Office Number

    Locations

    • Department of Pathology

      Academic Office

      Brady Memorial Laboratory

      310 Cedar St, Ste BML B50C

      New Haven, CT 06510

      Appointments

      203.785.2325
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