Satwik Rajaram is an Assistant Professor in the Lyda Hill Department of Bioinformatics and the Department of Pathology. 

Dr. Rajaram's formal training is in theoretical physics. His switch to biology occured during his Ph.D (at the University of Illinois at Urbana Champaign) as he developed statistical-physics-inspired approaches to help humans comprehend high-dimensional biological data.

Dr. Rajaram's post-doctoral research in the joint labs of Drs. Altschuler and Wu (at UTSW and then at UCSF) explored the  implications of cellular heterogeneity, primarily through quantitative microscopy. He developed machine learning approaches that automatically identified relevant image phenotypes -sometimes invisible to the human eye- and accurately profiled heterogeneous cellular populations. His work also explored the associated experimental design questions, such as how fews cells are needed to represent a population's heterogeneity reliably?

At UTSW, Dr. Rajaram will develop digital pathology approaches to understand the spatial organization of tumors. By combining machine identified phenotypes and existing pathology scoring within the framework established by cancer biology, he hopes to establish tissue organization itself as a predictive biomarker.

Research Interest

  • Digital Pathology
  • Intra-Tumor Heterogeneity
  • Machine learning applied to tissue images
  • Spatial organization of pathological tissue


Featured Publications LegendFeatured Publications

Combination Therapy Targeting BCL6 and Phospho-STAT3 Defeats Intratumor Heterogeneity in a Subset of Non-Small Cell Lung Cancers.
Deb D, Rajaram S, Larsen JE, Dospoy PD, Marullo R, Li LS, Avila K, Xue F, Cerchietti L, Minna JD, Altschuler SJ, Wu LF Cancer Res. 2017 Jun 77 11 3070-3081
Diverse drug-resistance mechanisms can emerge from drug-tolerant cancer persister cells.
Ramirez M, Rajaram S, Steininger RJ, Osipchuk D, Roth MA, Morinishi LS, Evans L, Ji W, Hsu CH, Thurley K, Wei S, Zhou A, Koduru PR, Posner BA, Wu LF, Altschuler SJ Nat Commun 2016 Feb 7 10690
On comparing heterogeneity across biomarkers.
Steininger RJ, Rajaram S, Girard L, Minna JD, Wu LF, Altschuler SJ Cytometry A 2015 Jun 87 6 558-67
A simple image correction method for high-throughput microscopy.
Coster AD, Wichaidit C, Rajaram S, Altschuler SJ, Wu LF Nat. Methods 2014 Jun 11 6 602
Rapid analysis and exploration of fluorescence microscopy images.
Pavie B, Rajaram S, Ouyang A, Altschuler JM, Steininger RJ, Wu LF, Altschuler SJ J Vis Exp 2014 Mar 85
SimuCell: a flexible framework for creating synthetic microscopy images.
Rajaram S, Pavie B, Hac NE, Altschuler SJ, Wu LF Nat. Methods 2012 Jun 9 7 634-5
NeatMap--non-clustering heat map alternatives in R.
Rajaram S, Oono Y BMC Bioinformatics 2010 Jan 11 45
A novel meta-analysis method exploiting consistency of high-throughput experiments.
Rajaram S Bioinformatics 2009 Mar 25 5 636-42