Headshot photo of Julianne David

Julianne David

  • Graduate Researcher, Computational Biology Program, School of Medicine
  • Biomedical Engineering Graduate Program, School of Medicine


Julianne is a Ph.D. candidate in computational biology candidate, co-mentored by Abhinav Nellore and Reid Thompson in the PDXgx group.  Her research focuses on detecting alternative and aberrant RNA splicing in cancer.

Education and training

    • B.A., 2004, Northwestern University
    • M.S., 2006, Northwestern University

Areas of interest

  • computational biology
  • genomics
  • bioinformatics
  • cancer biology
  • data science
  • alternative RNA splicing
  • software development


Selected publications

  • Nguyen, A., David, J.K., Maden, S.K., Wood, M.A., Weeder, B.R., Nellore, A., Thompson, R.F. Human leukocyte antigen susceptibility map for SARS-CoV-2. J. Virol. 94, 1–12 (2020).
  • Wood, M.A., Weeder, B.R., David, J.K., Nellore, A. & Thompson, R.F. Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival. Genome Med. 12, 1–16 (2020).
  • David, J.K., Maden, S.K., Weeder, B.R., Thompson, R.F. & Nellore, A. Putatively cancer-specific exon–exon junctions are shared across patients and present in developmental and other non-cancer cells. NAR Cancer 2, (2020).
  • David, J.K. & Wyatt, R.E. Computation of barrier transmission probabilities from two-dimensional real-valued approximate quantum trajectories. Chem. Phys. Lett. 481, (2009).
  • David, J.K. & Wyatt, R.E. Barrier scattering with complex-valued quantum trajectories: Taxonomy and analysis of isochrones. J. Chem. Phys. 128, (2008).


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