Headshot photo of Nathaniel Evans

Nathaniel Evans

  • Medical Informatics and Clinical Epidemiology, School of Medicine


Nate is a Bioinformatics and Computational Biomedicine (BCB) PhD candidate and OSLER TL1 pre-doctoral fellow at OHSU. He received a B.S. in Biological Physics from the University of Washington in 2015 and spent several succesive years as an Mechanical Design Engineer in biotech developing a lung cancer diagnostic device.

At OHSU, Nate's work has revolved around predicting cancer drug response in-vitro using high-throughput screening data and machine learning. His current projects involve developing novel deep learning methods to predict how cancer cell line expression patterns change in response to drug or genetic perturbations, and focuses on incorporating heterogenous sources of prior knowledge. Succesful development of this algorithm will lead to applications in drug combination priortization for pre-clinical testing.

Education and training

    • B.S., 2015, University of Washington
  • Fellowship

    • NCI T32 CA106195 - Training in the Molecular Basis of Skin/Mucosa Pathobiology [2019-2020]
    • NIH/NCATS TL1 - Oregon Students Learn and Experience Research (OSLER) [2021-2022]

Areas of interest

  • deep learning
  • geometric learning
  • uncertainty quantification
  • cancer biology
  • drug response
  • drug combination

Honors and awards

  • Finalist, Oral Presentation, OHSU Research Week [2019]


Selected publications

  • Choonoo G, Blucher A, Higgins S, Boardman M, Jeng S, Zheng C, Jacobs J, Anderson A, Chamberlin S, Evans N, Vigoda M, Cordier B, Tyner J, Kulesz-Martin M, McWeeney S, Laderas T. Illuminating biological pathways for drug targeting in head and neck squamous cell carcinoma. PLOS ONE 14, e0223639 (2019).
  • b. Evans N, Hayenga JW. Method and apparatus for pre-positioning a static, radially symmetric, coaxial sample and sheath combination to provide uniform sample delivery during flow [Internet]. US20190113535A1, 2019 [cited 2020 Nov 19]. Available from: https://patents.google.com/patent/US20190113535A1/en 


  • {{ pub.journalAssociation.journal.name.text[0].value }}