Carnegie Mellon University

 Russell Schwartz

Professor and Head, Computational Biology Department

Address:
Gates-Hillman Center 7723
Computational Biology Department, SCS
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
Work Phone: 412-268-3971
Administrative Assistant: Erin Driskill

Computational Cancer Research Website

 

 

Dr. Schwartz works broadly on models and simulations of biological systems, including work in computational genomics, phylogenetics, population genetics, and biophysics.  The largest area of his lab’s work in recent years has been computational cancer biology, with specific focus on algorithmic development related to clonal evolution in cancers and resulting tumor heterogeneity.  His lab also pursues work in stochastic simulation, with primary focus on models and model inference methods for simulating complex self-assembly dynamics.

Lab Members

Thomas Rachman

Ph.D. Student

Arjun Srivatsa

Ph.D. Student

 Rishi Verma

Master's Student

Highlighted Publications

H. Lei, B. Lyu, E. M. Gertz, A. A. Schaeffer, X. Shi, K. Wu, G. Li, L. Xu, Y. Hu, M. Dean, R. Schwartz. “Tumor copy number deconvolution integrating bulk and single-cell sequencing data.” Proc. International Conference on Research in Computational Molecular Biology (RECOMB), pp. 174-189, 2019.

J. Eaton, J. Wang, and R. Schwartz. “Deconvolution and phylogeny inference of structural variations in tumor genomic samples.” Bioinformatics (ISMB special proceedings issue), 34(13):i357-i365, 2018.

R. Schwartz and A. A. Schaffer. “The evolution of tumor phylogenetics: principles and practice.” Nature Reviews Genetics, 18(4):213-229, 2017.

SA Chowdhury, E Gertz, D Wangsa, K Heselmeyer-Haddad, T Ried, A Schaffer and R Schwartz. "Inferring models of multiscale copy number evolution for single-tumor phylogenetics." Bioinformatics, 31(12):i258-i267, 2015.

S. A. Chowdhury, S. E. Shackney, K. Heselmeyer-Haddad, T. Ried, A. A. Schäffer, R. Schwartz. “Phylogenetic analysis of multiprobe fluorescence in situ hybridization data from tumor cell populations.” Bioinformatics, 29(13):i189-i198, 2013.

Google Scholar

PubMed

Highlighted Software

FISHtrees - (FISH-based tumor phylogenetics)

TUSV - (tumor phylogenetics incorporating CNA and SV markers)

SCS_deconvolution - (joint bulk and single-cell CNA deconvolution)

BrMPhylo - (phylogenetics from bulk RNA-seq data)

GitHub