Emily de Jong

Graduate Student
Mechanical and Civil Engineering

1200 E. California Blvd.
MC C1-221
Pasadena, CA 91125




BSE, Princeton University, 2019


  • Bieli, M., Dunbar, O.R.A., de Jong, E.K., Jaruga, A., Schneider, T., Bischoff, T., 2022: An efficient Bayesian approach to learning droplet collision kernels: Proof of concept using “Cloudy”, a new n-moment bulk microphysics scheme. Journal of Advances in Modeling Earth Systems, 14, e2022MS002994.
    [PDF] [Official version]

  • de Jong, E., Bischoff, T., Nadim, A., Schneider, T., 2022: Spanning the gap from bulk to bin: a novel spectral microphysics method. Journal of Advances in Modeling Earth Systems, 14, e2022MS003186.
    [PDF] [Official Version]

  • de Jong, E.K., Singer, C.E., Azimi, S., Bartman, P., Bulenok, O., Derlatka, K., Dula, I., Jaruga, A., Mackay, J.B., Ward, R.X., Arabas, S., 2023: New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping. Journal of Open Source Software, 8, 4968.
    [PDF] [Official version]

  • de Jong, E., Mackay, J.B., Jaruga, A., Arabas, S., 2022: Breakups are complicated: an efficient representation of collisional breakup in the superdroplet method. Geophysical Model Development, in review.