Pinaki Sarder PhD

Pinaki Sarder

Pinaki Sarder
PhD

Associate Professor

Department of Pathology and Anatomical Sciences

Jacobs School of Medicine & Biomedical Sciences


Specialty/Research Focus

Artificial Intelligence; Bioinformatics; Biomedical Engineering; Biomedical Image Analysis; Biomedical Imaging; Biomedical Imaging; Biomedical Informatics; Digital Pathology; Histology; Image Analysis; Image Processing and Analysis; Imaging Informatics; Quantitative Histology; Quantitative Histology

Contact Information
Room 4204
Department of Pathology and Anatomical Sciences
955 Main Street
Buffalo, New York 14203
Phone: (716) 829-2265
Fax: 716-829-2725
pinakisa@buffalo.edu



Professional Summary:

We develop novel computational methods to study and understand tissue micro-anatomy using multi-modal whole-slide microscopy images as well as associated molecular omics data. 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 chronic kidney diseases as well as 'reference' organ systems across scale.

Education and Training:

  • Optical Radiology, Washington University in St. Louis, School of Medicine (2015)
  • Biostatistics, Harvard University, School of Public Health (2011)
  • MS, Electrical Engineering, Washington University in St. Louis (2010)
  • PhD, Electrical Engineering, Washington University in St. Louis (2010)
  • BS, Electrical Engineering, Indian Institute of Technology, Kanpur (2003)

Employment:

  • Associate Professor (with tenure), Pathology & Anatomical Sciences, University at Buffalo, The State University of New York, Jacobs School of Medicine & Biomedical Sciences (2021-present)
  • Assistant Professor, Pathology and Anatomical Sciences, University at Buffalo, The State University of New York Jacobs School of Medicine & Biomedical Sciences (2015–2021)

Awards and Honors:

  • Senior & Corresponding Author of the article "PodoSighter: A cloud-based tool for label-free podocyte detection in kidney whole slide images," which was selected for the cover of the November issue of the Journal of the American Society of Nephrology (JASN; IF: 10.12) in 2021 (2021)
  • Senior Author of the abstract "Automatic segmentation of arteries, arterioles, and glomeruli in renal biopsies with thrombotic microangiopathies," which was selected for the best abstract award in Annual Meeting of the German Society of Nephrology, Rostock, Germany, Sep. 23-26, 2021 (2021)
  • Senior & Corresponding Author of the abstracts: (i) "Prognostic glomerular morphometric phenotype discovery via clustering across large datasets" and (ii) "Urinary proteomics data guides AI to discover new digital biomarkers for diabetic nephropathy classification," which were selected by the Renal Pathology Society as two out of the three best abstracts for 2020-21 (2021)
  • 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 Medical Imaging - Digital Pathology, Houston, TX, February 19-20, 2020 (2020)
  • Senior & Corresponding Author of the article "Computational segmentation and classifi cation of diabetic glomerulosclerosis," which was selected for the Best of ASN Journals: Clinical JASN & JASN in 2019 (2019)
  • Recipient, University at Buffalo Exceptional Scholars - Young Investigator Award (2018)
  • Marshal, School of Engineering and Applied Science, Washington University in St. Louis, Commencement (2010)
  • Recipient, Imaging Sciences Pathway program Graduate Student Fellowship, Washington University School of Medicine (2007)

Research Expertise:

  • Digital & Computational Pathology
  • Microscopic Image Analysis
  • Multi-Modal Data Fusion

Research Centers:

  • Center for Computational Research (CCR)
  • Center of Excellence in Bioinformatics and Life Sciences

UB 2020 Strategic Strengths:

  • Information and Computing Technology

Grants and Sponsored Research:

  • January 2020–July 2023
    A Computational Renal Pathology Suite for KPMP
    The Kidney Precision Medicine Project (KPMP) Consortium Glue Grant
    Role: Principal Investigator
    $215,000
  • September 2018–July 2023
    R01: Computational Imaging of Renal Structures for Diagnosing Diabetic Nephropathy
    National Institutes of Health
    Role: Principal Investigator
    $2,000,045
  • July 2021–June 2022
    Going Beyond Segmentation in Discovering Early Pixel Level Changes in Diabetic Nephropathy using Histology Image and Urinary Proteomics Data
    DiaComp Pilot & Feasibility Grant
    Role: Principal Investigator
    $60,000
  • July 2021–June 2022
    KULMAP: Human Kidney, Urinary Tract, and Lung Mapping Center
    National Institutes of Health
    Role: Co-Investigator
    $100,000
  • October 2020–April 2022
    Integrating Genomics and Image Features for Computational Prognostication of Diabetic Nephropathy
    The State University of New York
    Role: Principal Investigator
    $30,000
  • January 2021–December 2021
    A Framework for Fusing Histopathology and Genomics Features for Diabetes Diagnosis and Prognosis
    Clinical & Translational Science Institute - University at Buffalo
    Role: Principal Investigator
    $42,500
  • April 2019–July 2021
    Computational Analysis of Neutrophil Extracellular Traps in Lupus Nephritis Renal Biopsies
    CKD Biomarkers Consortium Pilot and Feasibility Program
    Role: Principal Investigator
    $75,000
  • November 2017–October 2019
    Computational Imaging of Renal Structures for Diagnosing Diabetic Nephropathy
    DiaComp Pilot & Feasibility Grant
    Role: Principal Investigator
    $100,000

Journal Articles:

See all (37 more)

Books and Book Chapters:

  • S. T. Narla, B. Decker, P. Sarder, E. Stachowiak, and M. Stachowiak. (2018) Induced pluripotent stem cells reveal common neurodevelopmental genome deprograming in schizophrenia. In: Human Neural Stem Cells, Results and Problems in Cell Differentiation. Springer
  • Sarder P, Zhang W, Cobb JP, Nehorai A. (2010) In: Gene reachability using Page ranking on gene co-expression networks. Springer, 557-568.

Professional Memberships:

  • Adjunct Member, The United States and Canadian Academy of Pathology (2021–present)
  • Member, The International Society for Computational Biology (2021–present)
  • Member, The International Society for Optics and Photonics (SPIE) (2020–present)
  • Member, The Renal Pathology Society (2019–present)
  • Member, The American Society of Nephrology (2018–present)
  • Senior Member, IEEE (2015–present)

Presentations:

  • Invited talkscheduled at the XXXV Portuguese Nephrology Congress & XIII Luso-Brazilian Nephrology Congress, Vilamoura Congress Center (2021)
  • "Problems and opportunities in computational renal pathology" Invited seminarat the Division of Renal Disease and Hypertension, School of Medicine, University of Colorado Anschutz Medical Campus (Virtual) (2021)
  • "Human AI loop in cloud for distributed computation" Invited talk at the 29th Conference on Intelligent Systems for Molecular Biology and 20th European Conference on Computational Biology (Virtual) (2021)
  • "Problems and opportunities in computational renal pathology" Invited talk at the Departments of Biomedical Engineering and Computer & Data Sciences, Case Western Reserve University (Virtual) (2021)
  • "Machine learning in digital pathology" Invited seminar at the 8th Semi-Annual NIH O'Brien Center Microscopy Workshop, Indiana University (Virtual) (2021)
  • "Computational nephropathology for chronic kidney diseases" Invited talk at the Brigham and Women's Hospital Computational Pathology Symposium, Harvard Medical School (Virtual) (2021)
  • "Artificial intelligence in diabetic nephropathy" Invited talk at the AI in Nephropathology Workshop Amsterdam 2021, Online (2021)
  • "Beyond segmentation in computational nephropathology" Invited seminar at the Department of Pathology and Laboratory Medicine, University of California at Davis (Virtual) (2021)
  • "Large scale mining of urinary proteomics data guides AI to discover new digital image biomarkers for diabetic nephropathy classification" Invited talkat the Clinical-Pathological Conferences 2020 (Virtual) (2020)
  • "Computational renal pathology: Growing opportunities for engineers" Invited seminar at the Department of Biomedical Engineering, University of Houston (Virtual) (2020)
  • "Machine vision for predicting disease trajectory from renal microanatomy" Invited talk at the Deep Learning for Digital Pathology (DLDP) Forum, Center for Biomedical Informatics, University of Missouri (Virtual) (2020)
  • "Harnessing the power of artificial intelligence in renal pathology" Invited talk at the United States and Canadian Academy of Pathology's (USCAP's) 109th Annual Meeting 2020 (2020)
  • "Computational image analysis in nephropathology" Invited seminar at the NIH - NIDDK (2020)
  • "Computational nephropathology: From basics to applications: Applications of computational pathology to nephropathology research - Part 2" Seminar in Nephropathology as part of a joint venture between the Glomerular Disease Study & Trial Consortium (GlomCon) and the Renal Pathology Society (RPS) (Webinar) (2020)
  • "Computational nephropathology: From basics to applications: Applications of computational pathology to nephropathology research - Part 1" Seminar in Nephropathology as part of a joint venture between the GlomCon and RPS (Webinar) (2019)
  • "AI for Biomedical & Clinical Applications: A Key for the Next Generation Renaissance Scientists" Department of Pathology and Anatomical Sciences, University at Buffalo (2019)
  • "Introduction to digital pathology using examples from renal pathology" Department of Physics, Washington University in St. Louis (2018)
  • "Automated quantification of glomeruli features in renal pathology" SPIE Medical Imaging; SPIE; Digital Pathology (2016)
See all (8 more)

Service Activities:

  • Organizing Committee, AI in Nephropathology Workshop Amsterdam 2021, Amsterdam, Netherlands; Member (2021–present)
  • Session: Integration of Multimodal and Spatial Information, SPIE Medical Imaging -- Digital Pathology, Houston, TX; Session Chair (2020)
  • Program Committee, Renal Pathology Society; Member (2020)
  • Program Committee, SPIE Medical Imaging -- Digital & Computational Pathology; Member (2020–present)
  • Session: Computational Image Analysis: Shaping the Future of Nephropathology, The American Society of Nephrology's The Kidney Week 2019; Moderator (2019)
  • Program Chair, 32nd Conference on Graphics, Patterns, and Images, SIBGRAPI 2019; Chair (2019)
  • Program Committee, 2019 IEEE International Workshop on Machine Learning for Signal Processing; Member (2019)
  • Editorial Board, Statistics & Bioinformatics, Journal of American Society of Nephrology; Member (2019–present)
  • Plos One; Associate Editor (2018–2021)
  • Faculty Diversity and Inclusion Committee, School of Medicine & Biomedical Sciences, University at Buffalo; Department Representative (2015–present)

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Contact Information

Room 4204
Department of Pathology and Anatomical Sciences
955 Main Street
Buffalo, New York 14203
Phone: (716) 829-2265
Fax: 716-829-2725
pinakisa@buffalo.edu