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Dr. Daniel Cheng

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Address:

4800 Oak Grove Drive, M/S 300-323

Pasadena, CA 91109

Phone:

(818) 354-8153

Email:

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Contact:

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Curriculum Vitae:

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Member of:

Sea Level And Ice

JPL Postdoctoral Fellow

Employed By

Caltech/JPL

Biography

Prior to working at JPL, Dr. Daniel Cheng’s work involved the use of machine learning applied to the processing of remote sensing data products. This was focused on the automatic extraction of glacial features, for use in modeling frameworks such as the Ice-sheet and Sea-level System Model. At JPL, his work focuses on the state estimation of the Greenland and Antarctic Ice Sheets using ISSM, to provide controls on ocean models at the ice-ocean interface.

Education

  • PhD, Computer Science, University of California, Irvine, USA (2021)
  • M.S, Computer Science, University of California, Irvine, USA (2019)
  • B.S., Computer Science and Engineering, University of California, Irvine (2017)

Professional Experience

  • JPL Postdoctoral Fellow (2022 - Present)

Research Interests

  • Processing of remote sensing data using machine learning
  • Ice-ocean interactions, data assimilation, and state estimation using ice sheet modeling
  • Outreach/Education using state-of-the-art modeling and interactive web platforms.

Selected Awards

  • 2019 NSF Graduate Research Fellowship Program, Honorable Mention

Selected Publications

  1. Goliber, S., Black, T., Catania, G., Lea, J., Olsen, H., Cheng, D., Bevan, S., Bjørk, A., Bunce, C., Carr, R., Cowton, T., Gardner, A., Fahrner, D., Hill, E., Joughin, I., Korsgaard, N., Moon, T., Murray, T., Sole, A., Wood, M., Zhang, E. (2022). TermPicks : Terminus traces for the Greenland Ice Sheet for use as training data, The Cryosphere, in review.
  2. Cheng, G., Morlighem, M., Mouginot, J., & Cheng, D. (2022). Helheim Glacier's terminus position controls its seasonal and inter-annual ice flow variability. Geophysical Research Letters, 49, e2021GL097085. https://doi.org/10.1029/2021GL097085
  3. Cheng, D., Hayes, W., Larour, E., Mohajerani, Y., Wood, M., Velicogna, I., and Rignot, E. (2021). Calving Front Machine (CALFIN): Glacial Termini Dataset and Automated Deep Learning Extraction Method for Greenland, 1972-2019, The Cryosphere, https://doi.org/10.5194/tc-2020-231.
  4. Larour, E., Cheng, D., Perez, G., Quinn, J., Morlighem, M., Duong, B., Nguyen, L., Petrie, K., Harounian, S., Halkides, D., and Hayes, W. (2017). A JavaScript API for the Ice Sheet System Model (ISSM) 4.11: towards an online interactive model for the cryosphere community, Geosci. Model Dev., 10, 4393-4403, https://doi.org/10.5194/gmd-10-4393-2017.

Projects

ECCO
ISSM