Evan O. Paull

Evan O. Paull


Lead Bioinformatician/Associate Research Scientist

Evan Paull is lead bioinformatician and associate research scientist in the Califano lab. He joined the group in 2016, bringing expertise in pathway modeling and integration of proteomics with genomics data in cancer. His interest is in understanding the molecular mechanisms of cancer biology using mathematical and statistical models that can exploit data from multiple types of biological assays. 

Prior to joining Columbia, Evan obtained his PhD in bioinformatics and biomolecular engineering from the University of California, Santa Cruz, under the mentorship of Dr. Joshua M. Stuart.

Education History

PhD, University of California, Santa Cruz
Bioinformatics and Biomolecular Engineering

MS, University of California, Santa Cruz
Bioinformatics and Biomolecular Engineering

BS, University of California, Los Angeles


Drake JM, Paull, E.O., et al. Phosphoproteome integration reveals patient-specific networks in prostate cancer. Cell 2016. In press.

Hill SM, Heiser LM, Cokelaer T, Unger M, Nesser NK, Carlin DE, Zhang Y, Sokolov A, Paull EO, Wong CK, Graim K, Bivol A, Wang H, Zhu F, Afsari B, Danilova LV, Favorov AV, Lee WS, Taylor D, Hu CW, Long BL, Noren DP, Bisberg AJ; HPN-DREAM Consortium, Mills GB, Gray JW, Kellen M, Norman T, Friend S, Qutub AA, Fertig EJ, Guan Y, Song M, Stuart JM, Spellman PT, Koeppl H, Stolovitzky G, Saez-Rodriguez J, Mukherjee S. Inferring causal molecular networks: empirical assessment through a community-based effort. Nat Methods. 2016 Apr;13(4):310-8.

Sokolov A, Carlin DE, Paull EO, Baertsch R, Stuart JM. Pathway-based genomics prediction using generalized elastic net. PLoS Comput Biol. 2016 Mar 9;12(3):e1004790. 

Sokolov A, Paull EO, Stuart JM. One-class detection of cell states in tumor subtypes. Pac Symp Biocomput. 2016;21:405-16.

Cancer Genome Atlas Research Network. Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas. N Engl J Med. 2015 Jun 25;372(26):2481-98. 

Cancer Genome Atlas Research Network. Integrated genomic characterization of papillary thyroid carcinoma. Cell. 2014 Oct 23;159(3):676-90.

Cancer Genome Atlas Research Network. Comprehensive molecular characterization of urothelial bladder carcinoma. Nature. 2014 Mar 20;507(7492):315-22.

Hoadley KA, Wolf DM, Cherniack AD, Tamborero D, Ng S, Leiserson MD, Niu B, McLellan MD, Paull EO, Uzunangelov V, Kandoth C. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. Cell. 2014 Aug 14;158(4):929-44.

Paull EO, Carlin DE, Niepel M, Sorger PK, Haussler D, Stuart JM. Discovering causal pathways linking genomic events to transcriptional states using Tied Diffusion Through Interacting Events (TieDIE). Bioinformatics. 2013 Nov 1;29(21):2757-64.

Cancer Genome Atlas Research Network. Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature. 2013 Jul 4;499(7456):43-9.

Goldstein TC, Paull EO, Ellis MJ, Stuart JM. Molecular pathways: extracting medical knowledge from high-throughput genomic data. Clin Cancer Res. 2013 Jun 15;19(12):3114-20.

Cancer Genome Atlas Network. Comprehensive molecular portraits of human breast tumours. Nature. 2012 Oct 4;490(7418):61-70.


Lab Staff