and Systems Biology
University of Pittsburgh
3501 Fifth Avenue
3064 Biomedical Science Tower 3
Pittsburgh PA 15260
Email: shf28 AT pitt DOT edu
Ph (O): (412) 383 7475
Fax: (412) 648 3163
Faculty listing: csb at pitt
Research Assistant Professor
Department of Computational and Systems Biology
University of Pittsburgh , Pittsburgh, PA
PhD (Dec 2010)
Electrical Engineering (Minor: Mathematics)
The University of Arizona, Tucson, AZ
My background straddles the fields of computational imaging and optics, mathematical modeling, signals and systems, image science and analysis, and machine learning. My research work has leveraged the interconnections between these fields to develop optical and computational imaging modalities, mathematical models of image formation, image understanding, and image transforms applied to diverse areas such as predicting cancer progression and risk stratification, characterizing 3D nanoscale nuclear morphology during cell proliferation and chromatin decondensation, situational awareness applications, temporal compressed imaging, optical coherence tomography, color science, computer-aided diagnostics, diffraction tomography, and pathology informatics
More recently, my research interests have expanded to include 1. understanding spatial heterogeneity in tumor microenvironment and its role in cancer recurrence, metastasis and reponse to therapy, using highly multiplexed imaging, and computational and mathematical modeling; and 2. expanding the role of information theory in computational biophysics. Specifically, I am developing information-theoretic approaches to describe and quantify dynamics of biomolecules.
S. Uttam and Y. Liu
Three-dimensional nanoscale nuclear architecture mapping for improved cancer risk stratification, SPIE/OSA European Conferences on Biomedical Optics (ECBO) 2019, 23-27 June 2019, Munich, Germany; Paper 11076-38 (2019).
E. Fouquerel, R. Barnes, S. Uttam, S. Watkins, M. Bruchez, and P. L. Opresko,
Chronic oxidative guanine base damage at telomeres induces telomere crisis, Molecular Cell; 75(1): 117-130 (2019).
S. Uttam, J. G. Hashash, J. LaFace, D. Binion, M. Regueiro, D. J. Hartman, R. E. Brand, and Y. Liu,
Three-dimensional nanoscale nuclear architecture mapping detects the presence of colorectal neoplasia in patients with inflammatory bowel disease colitis from rectal biopsies, Cancer Prevention Research (2019). [In Press]
S. Uttam, A.M. Stern, S. A. Furman, F. Pullara, F. Ginty, D. L. Taylor, S. C. Chennubhotla,
Spatial proteomics with hyperplexed fluorescence imaging predicts risk of colorectal cancer recurrence and infers recurrence-specific protein-protein networks. Cancer Res; 79 (13 Supplement): 1642 (2019). [AACR Annual Meeting 2019, March 29-April 3 2019, Atlanta, Georgia].
J. Xu, H. Ma, J. Jin, S. Uttam, R. Fu, Y. Huang, and Y. Liu, “Super-resolution imaging of higher-order chromatin structures at different epigenetic states in single mammalian cells,” Cell Reports; 24(4): 873-882 (2018).