Taosif A.
Graduate Research Assistant
Experience
Sep 2023 - Present
2 years 3 monthsCambridge, United States
Graduate Research Assistant
Massachusetts Institute of Technology
- Developing sparse grid Discontinuous Galerkin (DG) solvers for the Fokker-Planck equation to analyze plasma confinement.
- Implementing spectral algorithms for non-toroidal geometries in nuclear fusion simulations.
- Programming in Fortran and C++ for high-performance computing simulations.
Sep 2022 - May 2023
9 monthsPrinceton, United States
Research Assistant
Princeton University
- Simulated nonlinear PDEs using finite element, Crank-Nicolson, and Thomas inversion methods.
- Analyzed retraction of thin films with Prof. Howard Stone and Dr. Rodolfo Brandao.
- Derived analytical results reducing coupled PDEs to diffusion equations.
May 2022 - Sep 2022
5 monthsPrinceton, United States
Research Assistant – Topological Quantum Matter and Advanced Spectroscopy Lab
Princeton University
- Discovered first Z₂ topological insulator family in kagome lattices using Density Functional Theory (DFT).
- Published in Physical Review Materials (2023).
- Conducted electronic band analysis using VASP and VESTA.
Jan 2021 - Jan 2022
1 year 1 monthPrinceton, United States
Research Assistant
Princeton Plasma Physics Laboratory
- Investigated field-reversed configuration topology and perturbation closure in fusion plasmas.
- Published findings in Physics of Plasmas (AIP) on magnetic-field closure and topological changes.
- Utilized topological methods such as Poincaré-Hopf theorem and singularity analysis.
May 2020 - Jan 2021
9 monthsPrinceton, United States
Research Assistant
Princeton University
- Modeled pulse pile-up in silicon drift detectors using probabilistic methods.
- Presented findings at APS DPP 2021.
- Applied Python and Java to analyze X-ray spectra and plasma diagnostics.
Summary
PhD researcher specializing in computational plasma physics, fusion modeling, and topological quantum analysis using advanced algorithms. Experienced in differential equations, density functional theory, and large-scale numerical simulations. Adept in applying theoretical frameworks and computational methods to complex physical systems. Recognized for published research in high-impact journals and award-winning scientific contributions. Passionate about using physics-driven computation to advance fusion energy, material science, and AI-augmented physical modeling.
Languages
English
NativeEducation
Sep 2023 - Present
Massachusetts Institute of Technology
Doctor of Philosophy · Physics · Cambridge, United States
Princeton University
Bachelor of Arts, Computer Science minor · Physics · Princeton, United States
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