Associate Professor (with tenure)
University at Buffalo, Pathology & Anatomical Sciences and Biomedical Engineering
Last update: December 22, 2021
Postdoctoral Associate position available: Job description. Apply here.
Research Scientist position available: Job description. Apply here.
Latest news: We published our work on computational classification of diabetic nephropathy in the Journal of the American Society of Nephrology (JASN).  All the codes and images used for evaluation are made available for the community.
We published our work on automated computational detection of interstitial fibrosis, tubular atrophy, and glomerulosclerosis in JASN.  All the codes, images and trained models used for evaluation are made available for the community.
We published our work on automated detection and quantification of podocytes from renal tissue whole slide images (WSIs) in JASN.  The article made the cover of the JASN November 2021 issue.  All the codes, WSIs, trained models, video tutorial, as well as a docker image to set a user friendly cloud instance of the tool are made available for the community.
We made available for the community our cloud-based instance for digital pahology WSI visualization, automated segmentation, and error correction for training a semantic segmentation model.  We made available the source code, docker image, and a video overview for the community.
An imaging scientist, Pinaki Sarder, Ph.D., is an Associate Professor (with tenure) of the Departments of Pathology and Anatomical Sciences (primary) and Biomedical Engineering (adjunct) at University at Buffalo (UB).  Dr.  Sarder has nearly 18 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 histology, medicine, microscopy, imaging, omics, image analysis, computational analysis, artificial intelligence, machine learning, data science, software engineering, biostatistics, and ontology.  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.
University at Buffalo, Pathology & Anatomical Sciences and Biomedical Engineering
University at Buffalo, Pathology & Anatomical Sciences and Biomedical Engineering
Postdoctoral training in Optical Radiology at Mallinckrodt Institute of Radiology
Washington University School of Medicine in St. Louis
Research fellowship in Biostatistics
Harvard University School of Public Health
Doctor of Philosophy in Electrical & Systems Engineering
Washington University in St. Louis
Master of Science in Electrical & Systems Engineering
Washington University in St. Louis
Bachelor of Technology in Electrical Engineering
Indian Institute of Technology, Kanpur