Computational Biologist
Computational Biologist


Sara Gosline received BA in Computer Science from Columbia University and spent two years working in software before returning to graduate school full time. She received her Masters and PhD in Computer Science from McGill University with a specialty in Bioinformatics and then moved to the Massachusetts Institute of Technology where she worked as a postdoctoral researcher in the Department of Biological Engineering with Ernest Fraenkel and Phillip Sharp, focusing on employing computational algorithms to disentangle biological data from cancer and other diseases.

Since completing her training, she worked at Sage Bionetworks, a non-profit that focuses on accelerating the pace of biomedical research through enabling data sharing and collaboration, where she focused on supporting scientific discoveries in rare disease. She has since become a research scientist at Pacific Northwest National Laboratory. Sara's research program at PNNL focuses on building computational models that leverage cancer model systems such as cell lines and organoids to identify potential drug combinations to better treat patients. Toward this end she curates high throughput datasets and develops machine learning approaches that predict drug efficacy across various cancers including Acute Myeloid Leukemia and rare cancers such as those that arise from Neurofibromatosis Type 1. She works closely with the mass spectrometry facility to leverage proteomic, phosphoproteomic, and other molecular measurements to develop algorithms that measure how cellular pathways respond to tumor growth.

Research Interest

  • Cancer Systems Biology
  • Graphical Network Algorithms
  • Genomics, Transcriptomics, and Proteomics
  • Neurofibromatosis and Rare Disease
  • Open Science and Reproducible Research


  • PhD in Computer Science, McGill University, 2010
  • MS in Computer Science, McGill University, 2005
  • BA in Computer Science, Columbia University in the City of New York, 2001

Affiliations and Professional Service

  • Founding Member, Association of Cancer Systems Biologists



Google Scholar Profile


  • Pino, James C, Camilo Posso, Sunil K Joshi, Michael Nestor, Jamie Moon, Joshua R Hansen, Chelsea Hutchinson-Bunch, Marina A Gritsenko, Karl K Weitz, and Kevin Watanabe-Smith. 2024. “Mapping the Proteogenomic Landscape Enables Prediction of Drug Response in Acute Myeloid Leukemia.” Cell Reports Medicine 5 (1).


  • Wang, Jiawan, Ana Calizo, Lindy Zhang, James C Pino, Yang Lyu, Kai Pollard, Xiaochun Zhang, Alex T Larsson, Eric Conniff, and Nicolas J Llosa. 2023. “CDK4/6 Inhibition Enhances SHP2 Inhibitor Efficacy and Is Dependent upon RB Function in Malignant Peripheral Nerve Sheath Tumors.” Science Advances 9 (47): eadg8876.
  • Larsson, Alex T, Himanshi Bhatia, Ana Calizo, Kai Pollard, Xiaochun Zhang, Eric Conniff, Justin F Tibbitts, Elizabeth Rono, Katherine Cummins, and Sara H Osum. 2023. “Ex Vivo to in Vivo Model of Malignant Peripheral Nerve Sheath Tumors for Precision Oncology.” Neuro-Oncology, noad097.
  • Gosline, Sara JC, Doo Nam Kim, Paritosh Pande, Dennis G Thomas, Lisa Truong, Peter Hoffman, Michael Barton, Joseph Loftus, Addy Moran, and Shawn Hampton. 2023. “The Superfund Research Program Analytics Portal: Linking Environmental Chemical Exposure to Biological Phenotypes.” Scientific Data 10 (1): 151.
  • Zitnik, Marinka, Michelle M Li, Aydin Wells, Kimberly Glass, Deisy Morselli Gysi, Arjun Krishnan, TM Murali, Predrag Radivojac, Sushmita Roy, and Anaïs Baudot. 2023. “Current and Future Directions in Network Biology.” arXiv Preprint arXiv:2309.08478.
  • Gosline, Sara JC, Marija Veličković, James C Pino, Le Z Day, Isaac K Attah, Adam C Swensen, Vincent Danna, Camilo Posso, Karin D Rodland, and Jing Chen. 2023. “Proteome Mapping of the Human Pancreatic Islet Microenvironment Reveals Endocrine–Exocrine Signaling Sphere of Influence.” Molecular & Cellular Proteomics 22 (8).


  • Way, Gregory P, Casey S Greene, Piero Carninci, Benilton S Carvalho, Michiel de Hoon, Stacey D Finley, Sara JC Gosline, Kim-Anh Lȇ Cao, Jerry SH Lee, and Luigi Marchionni. 2021. “A Field Guide to Cultivating Computational Biology.” PLoS Biology 19 (10): e3001419.











  • Gilchrist A, Au CE, Hiding J, Bell AW, Fernandez-Rodriguez J, Lesimple S, Nagaya H, Roy L, Gosline SJ, Hallett M, Paiement J, Kearney RE, Nilsson T, Bergeron JJ. 2006. “Quantitative proteomics analysis of the secretory pathway.” Cell. 2006 Dec 15;127(6):1265-81. doi: 10.1016/j.cell.2006.10.036. PubMed PMID: 17174899.


  • Scott MS, Calafell SJ, Thomas DY, Hallett MT. 2005. “Refining protein subcellular localization.” PLoS Comput Biol. 2005 Nov;1(6):e66. doi: 10.1371/journal.pcbi.0010066. Epub 2005 Nov 25. PubMed PMID: 16322766; PubMed Central PMCID: PMC1289393.