Pinaki Sarder PhD

Pinaki Sarder

Pinaki Sarder

Assistant Professor

Department of Pathology and Anatomical Sciences

Jacobs School of Medicine & Biomedical Sciences

Specialty/Research Focus

Bioinformatics; Biomedical Image Analysis; Biomedical Imaging

Contact Information
Room 4204
Department of Pathology and Anatomical Sciences
955 Main Street
Buffalo, NY 14203
Phone: (716) 829-2265
Fax: 716-829-2725

Professional Summary:

I have worked in three distinct research domains in my career: analytical statistical signal processing, experimental molecular imaging, and genomic data analysis. I collaborate with researchers from both academia and industry in multiple disciplines, including theoretical and applied physics, biochemistry, cell biology, molecular biology, and medicine. This multidisciplinary, cross-sector experience has given me unique skills and tools for successfully executing the goals of my laboratory.

The major projects in my laboratory are focused on quantitative biomedical image processing and analysis. I am also interested in developing end-user biomedical software and building novel biomedical instruments, e.g., handheld devices that will allow noninvasive microscopic and tomographic optical imaging. This work will build on my previous research and expand into translational research that will directly support human health.

My laboratory’s broad goal is to decipher meaningful information from anatomical structures and their pathologic conditions and connect them with molecular information to gain a better understanding of biological processes and disease. We focus on developing novel quantitative image processing and analysis methods, incorporating physical as well as statistical information of biological structures and their associated functional genomic information. Using statistical analysis, we have shown that our methods perform significantly better than existing ones. Existing methods in biomedicine typically do not employ both physical and statistical parameters associated with the imaging object and imaging system--and their environmental factors--while analyzing data. Thus, the results are often error-prone. By uniquely utilizing concrete physical and statistical modeling of the measurement data, our goal is to provide a more realistic profile and interpretation of complex biological systems and diseases. This, in turn, will provide new insights into diseases and improve disease diagnosis.

My laboratory is woven strongly into the Department of Pathology and Anatomical Sciences’ innovative research and teaching directions that integrate anatomy, pathology and data analysis. Departmental faculty members participate in both graduate biomedical and medical programs; as part of that effort, I seek motivated students to work in my research group to focus on our novel research direction. I believe that teaching and research greatly complement each other, and I emphasize equally teaching in the classroom and guiding students in my research lab.

Education and Training:

  • Postdoctoral Fellow, Optical Radiology, Washington University in St. Louis, School of Medicine (2015)
  • Fellowship, 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)


  • Assistant Professor, Pathology and Anatomical Sciences, University at Buffalo, The State University of New York (2015-present)

Awards and Honors:

  • First author of one of the 10 best "Editors‘ Pick" articles in 2012-13 in Biomicrofluidics journal from American Institute of Physics (2014)
  • Recipient, Travel Grant, Foundation for the National Institutes of Health, 2010 Human Microbiome Research Conference, St. Louis, Missouri, USA (2010)
  • 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:

  • Biomedical Imaging & Analysis
  • Biomedical Optics
  • Optimization
  • Signal and Image Processing
  • Statistics

Research Centers:

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

Journal Articles:

See all (8 more)

Books and Book Chapters:

  • Sarder P, Zhang W, Cobb JP, Nehorai A. Gene reachability using Page ranking on gene co-expression networks. Link Mining: Models, Algorithms, and Applications. 2010.


  • "Automated quanti cation of glomeruli features in renal pathology" SPIE Medical Imaging, SPIE, Digital Pathology (2016)
  • "Automatic segmentation of fluorescence lifetime microscopy images of cells using multi-resolution community detection" SPIE BiOS, SPIE, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXI (2014)
  • "Comparison of near-infrared confocal and multiphoton microscopy modalities in deep tissue imaging using cyanine contrast agents" SPIE BiOS, SPIE, Multiphoton Microscopy in the Biomedical Sciences XIV (2014)
  • "Dynamic projection of fluorescence molecular imaging information for aiding oncologic surgery" 2013 World Molecular Imaging Congress (2013)

Service Activities:

  • Journal of Medical Imaging & Health Informatics; Associate Editor (2015–present)
  • Program Committee, 2015 IEEE International Workshop on Machine Learning for Signal Processing; Member (2015)
  • Technical Program Committee, International Conference on Energy, Power, and Environment: Towards Sustainable Growth (IEEE Technically Co-Sponsored); Member (2015)
  • Faculty Diversity and Inclusion Committee, School of Medicine & Biomedical Sciences, University at Buffalo; Department Representative (2015–present)

School News:

In the Media:

Clinical Specialties:

Clinical Offices:

Insurance Accepted:

Contact Information

Room 4204
Department of Pathology and Anatomical Sciences
955 Main Street
Buffalo, NY 14203
Phone: (716) 829-2265
Fax: 716-829-2725