About Me
I am a third year Ph.D. student in the Department of Mechanical and Aerospace Engineering at UC San Diego, working under the guidance of Prof. Boris Kramer. I am currently working on space-weather forecasting. In particular, developing methods of uncertainty quantification and reduced-order modeling to predict the solar wind and Earth’s upper atmosphere. Before UC San Diego, I attended San Diego State University where I completed my B.S. in Applied Mathematics under the guidance of Prof. Christoper Curtis while working as a Solar Physics Intern at Predictive Science Inc.
My research interests are in data assimilation, model order reduction, and computational plasma physics.
Upcoming Events
April 2-May 30, 2024 I look forward 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.
July 21-26, 2024 I will be attending the World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics (WCCM-PANACM) conference in Vancouver, Canada where I will be presenting about data-driven model reduction of the Vlasov-Poisson equations.
Aug 12-16, 2024 I am excited to attend the Solar Heliospheric and INterplanetary Environment (SHINE) workshop in Juneau, Alaska. I will be presenting my latest work on kinetic-fluid simulation coupling using the spectral plasma solver. Feel free to reach out if you are planning to attend the conference and want to chat.
Sept 9-13, 2024 I will be attending the Model Reduction and Surrogate Modeling (MORE) conference which will be held at my home university–University of California San Diego.
Recent News
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 will be added to the youtube series soon.
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. I developed 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 dynamics in laboratory fusion devices (stellarator/tokamak/magnetic mirror).
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 Postdoc 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 Vlasov- Poisson system. I learned a lot about spectral methods, the Hamiltonian structure of the Vlasov-Poisson system, stability properties, 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 with Prof. Boris Kramer.