About Me
I am a fourth-year Ph.D. student in Mechanical and Aerospace Engineering at UC San Diego, working with Prof. Boris Kramer. My current research focuses on understanding how whistler waves affect plasma turbulence in Earth’s magnetosphere. I collaborate with the T5 division at Los Alamos National Laboratory, where a significant aspect of my work involves developing efficient numerical techniques for solving kinetic plasma equations.
Recent News
Sept 16-20, 2024 I enjoyed attending the CRC International Summer School 2024 near Hamburg, Germany, where I learned about the latest uncertainty quantification techniques.
Sept 9-13, 2024 I attended the Model Reduction and Surrogate Modeling (MORE) conference which was held at my home university–University of California San Diego.
Aug 11-16, 2024 I attended the Solar Heliospheric and INterplanetary Environment (SHINE) workshop in Juneau, Alaska, where I presented my latest work on the spectral plasma solver.
Aug 1-9, 2024 It was great to attend the 15th International Symposium for Space Simulations (ISSS-15) and the 16th International Workshop on the Interrelationship between Plasma Experiments in the Laboratory and in Space (IPELS-16) hosted by the Max Planck Institute for Plasma Physics (IPP) in Garching, Germany. I presented about my latest work with LANL (T5) on developing kinetic solvers via velocity spectral methods.
June 24-Aug 16, 2024 I was a heliophysics researcher in FDL-X geoeffectiveness continuous learning research group developing real time forecasts of geomagnetic ground perturbations with quantified uncertainties. My contribution is focusing on quantifying interpolation uncertainties via Gaussian process regression. The final presentation recording is added to youtube.
June 5, 2024 I was awarded the 2023-2024 MAE PhD Outstanding Teaching Assistant of the Year Award for the Systems and Signals course in W24.
April 2-May 30, 2024 It was great to return to the Los Alamos National Laboratory (LANL) T5 Applied Mathematics and Plasma Physics division as a computational science graduate student. I will be continuing to work with Gian Luca Delzanno and Oleksandr Koshkarov on various extensions/modifications of the LANL spectral plasma solver.
April 9, 2024 It was a pleasure to give a seminar talk at the Machine Learning for Planetary Science and Space Physics (ML4PSP) on Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction. The seminar recording is added to youtube.
Jan 3-March 15, 2024 I was the teaching assistant of Systems and Signals (MAE143A) course taught by Prof. Boris Kramer. I held weekly office hours and taught the 4th hour lecture for 190 undergraduate students. The course covered linear time invariant systems, Laplace transforms, Fourier transforms, and PID control. Here is a playful Jupyter notebooks to illustrate the application of the Discrete Fourier Transform to filter images (e.g. Oppenheimer/Monroe) and audio (e.g. Elton John’s “Don’t Go Breaking My Heart”).
Feb 19-22, 2024 I enjoyed attending the Institute for Mathematical and Statistical Innovation (IMSI) Computational Challenges and Optimization in Kinetic Plasma Physics workshop at the University of Chicago. I learned about the computational challenges and latest developments in simulating plasma in laboratory fusion devices.
Dec 11, 2023 Our preprint “Anti-symmetric and Positivity Preserving Formulation of a Spectral Method for Vlasov-Poisson Equations” (with Oleksandr Koshkarov, Federico D. Halpern, Boris Kramer, Gian Luca Delzanno) is available online at arXiv.
Dec 8, 2023 I was awarded the 2023 best presentation award along with Hunter Akin at the CaCAO (ChAos, Computation, Analysis and Optimization) group, which is lead by Prof. Matti Morzfeld at Scripps Institution of Oceanography. My presentation was a two-part overview of reduced-order modeling in the context of uncertainty quantification!
Sept 11, 2023 Our paper “Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction” (with Pete Riley, Enrico Camporeale, and Boris Kramer) posted online at Space Weather.
Aug 20-25, 2023 I attended the 10th International Congress on Industrial and Applied Mathematics (ICIAM23) in Tokyo, Japan, where I presented in the “Space Weather: Modeling, Surrogates and Uncertainty Quantification” mini-symposium on parameter estimation and global sensitivity analysis of ambient solar wind models.
June 5-July 28, 2023 It was great to attend the Los Alamos National Laboratory Space Weather Summer School, which offered a variety of lectures in space weather (mainly focusing on magnetospheric physics). During the summer school, I got to work with Gian Luca Delzanno (LANL), Oleksandr Koshkarov (LANL), and Federico Halpern (General Atomics) on the anti-symmetric formulation of spectral methods for electrostatic plasma equations. I learned a lot about spectral methods, the Hamiltonian structure of the Vlasov-Poisson system, and classic electrostatic instabilities.
June 11-16, 2023 I presented about my latest work in parameter estimation and global sensitivity analysis of ambient solar wind models at Geospace Environment Modeling (GEM).
May 16, 2023 Our preprint “Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction” (with Pete Riley, Enrico Camporeale, and Boris Kramer) is available online at arXiv.
May 10, 2023 Our work (with Boris Kramer) appeared in a SIAM News Blog post on Speeding Up Solar Wind Forecasts with Reduced-order Modeling.
April 6-7, 2023 It was great to attend the USACM Workshop on Establishing Benchmarks for Data-Driven Modeling of Physical Systems at University of Southern California (USC), where I presented about magnetohydrodynamic solar wind modeling and their corresponding mathematical challenges, i.e. high-dimensionality, complex nonlinearity, shock dynamics, advection-dominated phenomena, which make such models a great candidate for benchmark problems in model reduction and uncertainty quantification.
March 17, 2023 Our preprint “Exact and optimal quadratization of nonlinear finite-dimensional non-autonomous dynamical systems” (with Andrey Bychkov, Gleb Pogudin, and Boris Kramer) is available online at arXiv.
March 9-10, 2023: I attended the Space Weather with Quantified Uncertainties Spring Meeting 2023 and got to visit the MIT Haystack observatory! I presented a poster on variance-based global sensitivity analysis of ambient solar wind models.
Dec 22, 2022 I passed my Departmental Qualifying Exam (DQE) in computational fluid dynamics, fluid instabilities, and model order reduction. Many thanks to my advisor Prof. Boris Kramer, and committee members Prof. Oliver Schmidt and Prof. David Saintillan.
Nov 7, 2022: Our paper “Predicting Solar Wind Streams from the Inner-Heliosphere to Earth via Shifted Operator Inference” (with Boris Kramer) is posted online at the Journal of Computational Physics.
Sept 26-30, 2022: I gave a talk at the mini-symposium on Data-driven, physics-informed methods for computational science at Society for Industrial and Applied Mathematics (SIAM) conference on Mathematics of Data Science; My talk was about “Predicting Solar Wind Streams from the Inner-Heliosphere to Earth via Shifted Operator Inference”.
June 19-July 1, 2022: I attended Geospace Environment Modeling (GEM) and Solar Heliospheric and INterplanetary Environment (SHINE) workshops at Waikiki, HI, where I presented a poster about “Predicting Solar Wind Streams from the Inner-Heliosphere to Earth via Shifted Operator Inference”.
May 21, 2022: It was great to attend Southern California Applied Mathematics Symposium (SOCAMS) conference sponsored by SIAM and hosted by Harvey Mudd; where I presented about “Predicting Solar Wind Streams from the Inner-Heliosphere to Earth via Shifted Operator Inference”.
April 16, 2022: Prof. Boris Kramer’s research group joined forces with the Rocket Propulsion Laboratory (RPL) and Students for the Exploration and Development of Space (SEDS) to host a Space Research booth at Barrio Logan Science & Art Expo. This event was a great opportunity to communicate our research to families from around southern San Diego.
March 27, 2022: Our preprint “Predicting Solar Wind Streams from the Inner-Heliosphere to Earth via Shifted Operator Inference” (with Boris Kramer) is available online at arXiv.
March 17, 2022: Our paper “Deep learning enhanced dynamic mode decomposition” (with Jay Lago, Christopher Curtis, and Alexander Ihler) posted online at Chaos.
Jan 19, 2022: Our paper “Theoretical Refinements to the Heliospheric Upwind eXtrapolation Technique and Application to in-situ Measurements” (with Pete Riley) posted online at Frontiers in Astronomy and Space Sciences.
Oct 17-19, 2021: Attended the NextProf Pathfinder 2021 workshop at the University of Michigan.
Oct, 2021: I moved to UCSD to pursue a PhD in Mechanical and Aerospace Engineering!