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Daniel Abdulah

Headshot of Daniel Abdulah
Program Year:
3
University:
Massachusetts Institute of Technology
Field of Study:
Planetary Science
Advisor:
Wanying Kang
Degree(s):
A.B. Mathematics and Physics, Harvard College, 2022; A.M. Mathematics, Harvard University, 2022

Practicum Experience(s)

National Renewable Energy Laboratory (2024)

Practicum Supervisor(s):
Kevin
Griffin
Practicum Title:
Adaptive computing: macroscale surrogate modeling with on-the-fly training from microscale simulations

Oak Ridge National Laboratory (2023)

Practicum Supervisor(s):
Matthew
Norman
Practicum Title:
Increasing the maximum stable step with empirical Runge-Kutta schemes

Publications

Abdulah, D. and Kang, W. An oceanic mechanism for geyser formation on Enceladus. AGU Advances. (in review)

Abdulah, D., Sitaraman, H., Larsen, R., Griffin, K.P., Wei, G., Domantay, J., Young, E., Henry de Frahan, M.T. Multiscale simulation coupling using on-the-fly surrogate modeling. (in prep.)

Norman, M.R., Abdulah, D., Pieper, K. Empirically Investigating Total Variation for ADER and Runge-Kutta Time Integrators Using Monotone and Non-Oscillatory Spatial Reconstructions for 1-D Scalar Conservation Laws. (in prep.)

Vilas, N., Augenbraun, B., Lasner, Z., Frenett, A., Sawaoka, H., Miller, C., Niu, Z., Abdulah, D., Baum, L., Mitra, D. and Hallas, C., (2020) Novel Laser-Coolable Molecular Species. APS DAMOP Meeting Abstracts. Vol. 2020, pp. K01-128.

Awards

Department of Energy Computational Science Graduate Fellowship
MIT Dean of Science Fellowship
Outstanding Student Presentation Award, AMS AOFD 2024
Communicate Your Science Essay Award 2024
Jet Propulsion Laboratory Summer Undergraduate Research Fellowship 2020, 2021
Bok Certificate for Distinction in Teaching 2019, 2020