Group members

Boris Kramer

Boris Krämer

Principal Investigator

Jacobs Hall (EBU1) | Room 4209 | +1 (858) 246-5327

Boris Kramer is an Assistant Professor in Mechanical and Aerospace Engineering at the University of California San Diego. Before that, he spent four years as a Postdoctoral Researcher in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology. Before that, he got his Ph.D. in Mathematics from Virginia Tech. At UCSD, Professor Kramer is a member of the Center for Computational Mathematics (CCoM), Cymer Center for Control Systems and Dynamics, the Center for Extreme Events Research (CEER).

HarshSharma

Harsh Sharma

Postdoc

Jacobs Hall (EBU1) | Room 4205

Harsh is interested in combining the perspectives of structure-preserving model reduction and machine learning to build physics-informed surrogate models of large-scale dynamical systems. Prior to joining the group, Harsh obtained his Ph.D. in Aerospace Engineering and M.S. in Mathematics from Virginia Tech, where he worked on structure-preserving and energy-preserving methods for numerical integration of structured systems. More info on his webpage.

YulinGuo

Yulin Guo

Postdoc

Jacobs Hall (EBU1) | Room 4205

Yulin is interested in developing uncertainty quantification and surrogate modeling methods for large-scale engineering systems. Prior to joining the group, Yulin obtained his Ph.D. in Civil Engineering from Vanderbilt University and M.S. in Civil Engineering from University of Michigan, Ann Arbor. In his Ph.D., he worked on prediction uncertainty quantification methodology development for high-dimensional problems. Please see his webpage for more info.

NateLinden

Nate Linden-Santangeli

PhD student in Mechanical and Aerospace Engineering (started Fall 2020, co-advised with Prof. Padmini Rangamani)

Nate is interested in developing uncertainty quantification and data-driven modeling methods to improve the predictive power of mathematical models of cellular signaling systems. Nate joined UCSD with a B.S. in Bioengineering and Applied Mathematics from the University of Washington. More info on his webpage.

NickCorbin

Nick Corbin

PhD student in Mechanical and Aerospace Engineering (started Fall 2021)

Jacobs Hall (EBU1) | Room 4208

Nick is developing scalable numerical methods for nonlinear balanced truncation and, more broadly, for nonlinear control. Before joining the group, Nick earned his B.S. and M.S. in Engineering Science and Mechanics from Virginia Tech, with his M.S. thesis focusing on structural vibration testing. More info on his webpage.

OpalIssan

Opal Issan

PhD Student in Mechanical and Aerospace Engineering (started Fall 2021)

Jacobs Hall (EBU1) | Room 4207

Opal is interested in reduced order modeling, numerical methods for partial differential equations, and physics-informed machine learning techniques with applications to space weather and solar physics. Prior to joining the group, she completed her undergraduate in Applied Mathematics from San Diego State University. More info on her webpage.

HyeonghunKim

Hyeonghun Kim

PhD student in Mechanical and Aerospace Engineering (started Fall 2022)

Jacobs Hall (EBU1) | Room 4207

Hyeonghun is interested in data-driven reduced-order modeling for large-scale nonlinear multiphysics problems. Prior to joining the group, he received his B.S. in Mechanical Engineering from Handong University, South Korea. More info on his webpage.

StevenNguyen

Steven Nguyen

PhD student in Mechanical and Aerospace Engineering (started Fall 2023, co-advised with Prof. Jorge Cortes)

Jacobs Hall (EBU1) | Room 4208

Steven is interested in researching data-driven approaches to modeling and control of large-scale dynamical systems. He is also interested in studying lifting transformations and their applications to non-autonomous systems. Prior to joining the group, Steven received his B.S. in Mechanical Engineering at University of California Santa Barbara, where he worked on Koopman operator theory.

DylanHirsch

Dylan Hirsch

PhD student in Mechanical and Aerospace Engineering (started Fall 2023, co-advised with Prof. Sylvia Herbert)

Dylan is interested in developing methods for safety-critical control and reduced-order modeling, with applications to both cyber-physical and biological systems. He received his B.S. in Biomedical Engineering from Johns Hopkins University and his S.M. in Biological Engineering from MIT. Through his master's research, he became excited about systems and control theory, inspiring his transition across fields.

Albani

Albani Olivieri

PhD student in Mechanical Engineering (started Fall 2024)

Jacobs Hall (EBU1) | Room 4208

Albani's interests are in optimization algorithms in the field of model order reductions for complex models such as Partial Differential Equations. Specifically, she works on quadratization and polynomialization algorithms for PDEs, both symbolically and from data. Before joining the group, she got her M.S. and B.S. in Computer Science Engineering at Universidad de Chile in Santiago, where she worked on designing and developing a quadratization/lifting algorithm for PDE models. In Fall 2022, she interned with Prof. Gleb Pogudin and Ecole Polytechnic where she also worked on quadratization algorithms. More info on her webpage

Jaime

Jaime Landeros

PhD student in Mechanical Engineering (started Fall 2024)

Jacobs Hall (EBU1) | Room 4207

aime is interested in data-driven reduced-order modeling and inverse problems in space weather. Prior to joining the group, Jaime completed a B.S. in Aerospace Engineering at Cal Poly Pomona and a three-year internship with the NASA Goddard Solar Physics Laboratory where he explored physics-based surrogate modeling, uncertainty quantification, and data analysis in space weather and liquid propulsion applications. Check out his website.

Justin

Justin Burzachiello

PhD student in Mechanical Engineering (started Winter 2025)

Jacobs Hall (EBU1) | Room 4205

Justin's research interests span scientific machine learning, tensor algebra, and high-performance computing, with broad applications in science and engineering. He previously interned as a SULI software engineer at Oak Ridge National Laboratory and as an industrial X‑ray CT systems engineer at VJ Technologies. Before joining the group, Justin earned a B.S. in Physics from the University of California, Riverside and an M.S. in Computational Applied Mathematics from Stony Brook University.

Undergraduate Students

Anique

Anique Dittrich

BS student in Mechanical Engineering, specializing in Renewable Energy and Environmental Flows (Junior)

Jacobs Hall (EBU1) | Room 4208 (during Summer 2024)

Anique is interested in researching how quadratization algorithms obtain new sets of variables to describe complex dynamics that can be leveraged in operator learning for Koopman observables. She is also interested in developing renewable energy systems and is an active member of UC San Diego's Human Powered Submarine as a co-lead of the drivetrain team.

Former Postdocs

  • Dr. Dongjin Lee, Postdoc: Spent 1.5y in our group working on uncertainty quantification and biomass combustion. Started a position as Assistant Professor in the Department of Automotive Engineering at Hanyang University (Seoul, South Korea). You can find his website here

    • Former MS students

  • Elle Lavichant, BS (2023) and MS (2024) in Mechanical Engineering. Elle has worked with us for two years on developing a digital twin model for biomass combustion, both from the modeling perspective (cold flow, char combustion, chemistry) as well as the numerical implementation in the MFiX software.
  • Yizhe Huang, M.Sc. in CSE, 2020, Thesis: Model Reduction and Iterative LQR for Control of High-Dimensional Nonlinear Systems. Yizhe started as a PhD student in Operations Research at UT Austin in Fall 2020.)
  • Liezl Maree, M.Sc. in ECE, 2021. Worked on data-driven model reduction techniques for the St. Venante equations as part of a model framework for urban water flow systems. (Position after graduation: Test Engineer, General Atomics, San Diego, CA.)
  • Stephen Chen, MAE graduate student, 2020-2021.
  • Parikshit Jain, M.Sc. in MAE, 2021. Worked on data-driven reduced-order modeling for the single-injector combustion application. (Position after graduation: Big data/ ML engineer at Nova Measuring Instruments.)

    • Former Undergraduate Students

  • Juan Diego Draxl Giannoni, Aerospace Engineering and Physics: Juan Diego is explored the use of lifting transformations in structure-preserving model reduction of large-scale Hamiltonian systems. As part of his senior Physics thesis, he investigated whether lifting is a viable approach to reduce the computational cost and still conserve the structure of the system.
  • Emily Deboer, Mechanical Engineering undergraduate student: Emily worked on data-driven model reduction for convective systems. Moreover, as part of her summer internship in 2023, she is also assisting us with development of eductational outreach materials for Science Booths, which we offer at Barrio Logan, the San Diego Space Museum and the Southeast San Diego Science Fair. She is an active member at the Rocket Propulsion Lab (RPL).
  • Elle Lavichant, ME undergraduate student: Elle worked with us as an undergraduate researcher from July 2022-September 2023 on biomass combustion simulations. She then continued to do her MS and working on the same project.
  • Hannah Haider, Aerospace undergraduate student: Hannah worked in our group for a year on simulation and reduced-order modeling for the Vlasov-Poisson equation and other space weather fluid systems. She started a PhD at Columbia in Fall 2023.
  • Antoinette Gautier, MAE undergraduate student: Antoinette did a summer internship in 2022 with us focusing on soft robotic simulation. She started a M.S. in Biomimicry at Arizona State University in Fall 2023.