Chad D Curtis

Chemical Engineering

  • (801) 413-8280
  • BNS 263


Chad Curtis is a newly minted Ph.D. from the University of Washington's own Department of Chemical Engineering. His thesis work, performed under the guidance of Elizabeth Nance, examined the use of machine learning algorithms in conjunction with nanoparticle diffusion datasets in the design of nanoparticle therapeutics. He is both a passionate engineer and data scientist, and will be teaching courses that help integrate the two — including the DIRECT course series in software engineering and data science.


  • Ph.D. in Chemical Engineering: Data Science, University of Washington, 2019
  • M.S in Chemical Engineering, University of Washington, 2017
  • B.S. in Chemical Engineering, University of Utah, 2015

Select publications

  1. Curtis C, Rokem A, Nance E. diff_classifier: Parallelization of multi-particle tracking analyses. JOSS , 4(36): 989 (2019).
  2. Curtis C, Toghani D, Wong B, Nance E. Colloidal stability as a determinant of nanoparticle behavior in the brain. Colloids Surf B Biointerfaces , 170:673-682 (2018).
  3. Curtis C, Zhang M, Liao R, Nance E. Systems-level thinking for nanoparticle-mediated delivery to neurological diseases. Wiley Interdiscip Rev Nanmed Nanobiotechnol, 9(2) (2017). **selected cover image