Team
Our team has been supported by DOE Office of Science (ASCR, FES, ARDAP), LANL LDRD, and NSF.
Current members
Postdocs
- Daniel Serino, T-5, Los Alamos National Laboratory, 2022–present
- Dan has been supported by ASCR, FES and LANL LDRD.
- Bio: Dan received his PhD in Mathematics at Rensselaer Polytechnic Institute in 2019 where he specialized in numerical methods for fluid-structure interaction and free-surface flows. Prior to joining LANL, he held research scientist positions in industry and worked on problems involving acoustic scattering and financial optimization. His current research interests include developing stable numerical discretizations for multi-physics problems, designing long-term stable machine learning architectures for modeling dynamical systems, and developing robust solvers for the free-boundary Grad-Shafranov problem.
- Allen Alvarez-Loya, T-5, Los Alamos National Laboratory, 2022–present
- Allen has been supported by NSF MPS-Ascend postdoc fellowship (DMS-2213261).
- Bio: Allen received his PhD in applied mathematics at the University of Colorado at Boulder in 2022 where he developed high-order methods for wave phenomena. His current goals are to develop structure-preserving algorithms for plasma physics simulations and promote diversity in the mathematical and physical sciences.
- Oleksii Beznosov, T-5, Los Alamos National Laboratory (I am a co-mentor), 2022–present
- Oleksii has been supported by FES, ARDAP, and LANL LDRD.
- Bio: Oleksii received his PhD in mathematics at the University of New Mexico in 2020. Before joining LANL he did his postdoc at UNM and Cornell studying mathematical and computational aspects of spin dynamics in high energy electron storage rings. His research interests are stochastic particle dynamics in plasma physics and high energy physics, scalable high order numerical methods for wave propagation problems posed on domains with complex geometries, machine learning and high-performance computing.
Ph.D. students
- Manolis G. Drimalas, Department of Physics, University of Arizona, 2024–present
- Manolis has been supported by LANL LDRD CSES prgoram.
- Co-advised with Federico Fraschetti (Harvard) and Chengkun Huang (LANL).
- Mandela B. Quashie, Department of Computational Mathematics, Science and Engineering, Michigan State University, 2023–present
- Mandela has been supported by ASCR and LANL Center for Nonlinear Studies (CNLS).
- Co-advised with Andrew Christlieb (MSU) and Josh Burby (UT-Austin).
Former members
Postdocs
Student interns mentored at LANL
- Shih-Hsin Wang, Graduate student from University of Utah, summer 2024
- Jack Coughlin, Graduate student from University of Washington, summer 2022
- Valentin Duruisseaux, Graduate student from University of California San Diego, summer 2022
- George Kevrekidis, Graduate student from Johns Hopkins University, summer 2022
- Matt Picklo, Graduate student from Colorado School of Mines (ISTI fellow), summer 2022
- Kyle Schwiebert, Graduate student from Michigan Tech University (NSF MSGI), 2022
- Boqian Shen, Graduate student from Rice University, summer 2021
- Mingchang Ding, Graduate student from University of Delaware, summer 2019
- Zhichao Peng, Graduate student from Rensselear Polytechnic Institute, summer 2019
- Kai Huang, Graduate student from Michigan State University, summer 2019
Postdoc collaborators at LANL
- Xuping Xie, Los Alamos National Laboratory, 2022-2024
- Current: Assistant Professor, Old Dominion University
- I was his informal co-mentor.
- Zakariae Jorti, Los Alamos National Laboratory, 2020-2023
- Current: Senior R&D Engineer, Ansys
- I was his informal co-mentor.
- Shuang Liu, Los Alamos National Laboratory, 2020
- Current: Assistant Professor, University of North Texas
- I was her informal co-mentor.