Sarder Lab

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We develop novel computational methods to study and understand tissue micro-anatomy using multi-modal whole-slide microscopy images as well as associated genomic datasets.  Our method facilitates decision making in a clinical work-flow (both for diagnosis and predicting progression of diseases), and also allows studying fundamental systems biology of disease dynamics.  Currently, our major focus involves studying diabetic kidney diseases in mouse models and human samples.

Last update: December 20, 2020

Latest news: Our work discussing a smart Human-Machine Collaboration to generate high quality large-scale annotations from digital histology images appeared in Nature Machine Intelligence.  A read-only version of the work is available here.  Video discussing part of the work is available here.   All the codes and images used for evaluation are made available for the community.

We published our work on computational classification of diabetic nephropathy in Journal of American Society of Nephrology (JASN).  The article is featured by JASN.  Editorial on this work via JASN is available here.  News stories are available here. All the codes and images used for evaluation are made available for the community.

Our work on automated computational detection of interstitial fibrosis, tubular atrophy, and glomerulosclerosis has recently been accepted in JASN. More information will come soon.

The PI, Dr. Sarder, joined the investigator team of the Kidney Precision Medicine Project as a domain expert in computational nephropathology.

Pinaki Sarder

A biomedical image scientist, Pinaki Sarder, is an Assistant Professor of the Departments of Pathology and Anatomical Sciences (primary) and Biomedical Engineering (adjunct) at University at Buffalo's (UB's) Jacobs School of Medicine and Biomedical Sciences.  Dr. Sarder has >15 years of experience in biomedical image analysis.  He has also worked in biomedical imaging and instrumentation during his post-doctoral training at Mallinckrodt Institute of Radiology.  His current work combines tools from statistical detection & estimation theory, image processing, machine learning, as well as imaging.  Dr. Sarder's research group collaborates with researchers from multiple disciplines, including medicine, chemistry, biophysics, cell biology, and engineering.  Dr. Sarder's current multi-disciplinary works take advantage of his vast experience to bring together accurate tools for successfully executing the multidisciplinary goals of his research laboratory.

Academic Positions

  • Present 2015

    Assistant Professor

    University at Buffalo, Pathology & Anatomical Sciences and Biomedical Engineering

Education & Training

  • Postdoctoral Fellow 2011-15

    Postdoctoral training in Optical Radiology at Mallinckrodt Institute of Radiology

    Washington University School of Medicine in St. Louis

  • Research Fellow 2010-11

    Research fellowship in Biostatistics

    Harvard University School of Public Health

  • Ph.D. 2003-10

    Doctor of Philosophy in Electrical & Systems Engineering

    Washington University in St. Louis

  • M.Sc.2010

    Master of Science in Electrical & Systems Engineering

    Washington University in St. Louis

  • B.Tech.1999-03

    Bachelor of Technology in Electrical Engineering

    Indian Institute of Technology, Kanpur

Honors & Awards

  • May 18, 2020
    Keynote Speaker, The Histopathological Image Analysis (HIMA) workshop, Pathology Informatics Meeting, Pittsburgh, PA, USA
  • February 19, 2020
    Senior & Corresponding Author of the abstract "Probabilistic modeling of diabetic nephropathy progression" which was selected as one of the two runner-ups for the Best Poster award in SPIE Digital Pathology 2020 at Houston, Texas.
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    Congratulations to student Sam Border who was the first author of the poster. Sam presented his master's thesis work.
  • 2019
    Senior & Corresponding Author of the article "Computational segmentation and classifcation of diabetic glomerulosclerosis" which was selected for the Best of American Society of Nephrology (ASN) Journals: Clinical Journal of ASN (CJASN) & JASN in 2019.
  • October 18, 2019
    Invited Participant, Expert Roundtable on the "Potential Power and Challenges in the Use of Artificial Intelligence ("Big Data") for Improved Risk Stratification and Management of Kidney Disease," the Rogosin Institute and pulseData, New York, NY, USA
  • September 24-25, 2019
    Received travel award to attend the face-to-face meeting of the Kidney Precision Medicine Project (KPMP) Consortium, NIH : NIDDK, Washington, D.C., USA
  • 2018
    Received University at Buffalo's Exceptional Scholars - Young Investigator Award
    The University at Buffalo's Exceptional Scholar Award for Young Investigators celebrates a recent superior achievement of a scholar in his/her field of study.  Such an achievement will have distinguished the recipient as an up-and-coming scholar, as well as earned the individual acclaim for his/her work, which could be a published work or other scholastic or artistic endeavor.  See details on this award here.
  • December 2015
    Granted Senior Membership, The Institute of Electrical and Electronics Engineers (IEEE)
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    IEEE is the world’s largest association of technical professionals with >433K members in >160 countries around the world.  Only 9% of IEEE’s members hold this grade, which requires extensive experience, and reflects professional maturity and documented achievements of significance.
  • 2007
    Imaging Sciences Pathway program Graduate Student Fellowship Award at Washington University in St. Louis
    The Imaging Sciences Pathway is awarded to selected students in graduate programs in the Division of Biology and Biomedical Sciences, Chemistry, Physics, and the School of Engineering and Applied Sciences at Washington University in St. Louis (WUSTL).  With over 40 mentors from 14 departments at WUSTL, the Pathway offers diverse, multidisciplinary opportunities.  Graduate students who complete training in the Imaging Sciences Pathway are poised to follow a unique career trajectory, which may involve imaging technology development, the chemistry and use of novel contrast agents, the visualization and manipulation of macromolecular complexes and organelles in cells and in animals, and the application of these technologies to the visualization of human disease states.  Awards in 2007 were supported by National Institute of Health under the training program titled as "21st-Century Imaging Sciences: Undergraduate and Graduate Student Training" (Project Number: T90DA022871).

Service Activities

  • 2020-Present
    Member, Program Committee, SPIE Medical Imaging - Digital & Computational Pathology
  • 2020
    Member, Program Committee, Renal Pathology Society.
    Responsibility includes providing proposals for the 2021 USCAP (the United States and Canadian Academy of Pathology) Companion Meeting.
  • November 7, 2019
    Moderator, Session: Computational Image Analysis: Shaping the Future of Nephropathology, The American Society of Nephrology's The Kidney Week 2019, Washington, D.C., USA
  • 2015-Present
    Diversity and Inclusion Advocate, Department of Pathology and Anatomical Sciences, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo
    Serves as liaison for the department to the Office of Inclusion and Cultural Enhancement, assists in developing strategies to promote the value of diversity and inclusion, provides support for search committees in applying best practices for attracting and developing an excellent and diverse faculty, and participates in outreach programs.