Group members
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).
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.
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.
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.
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.
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.
Hyeonghun Kim
PhD student in Mechanical and Aerospace Engineering (started Fall 2022)
Jacobs Hall (EBU1) | Room 4207
Hyeonghun is interested in the application of data-driven reduced order modeling methods to better understand high-dimensional dynamical systems and their controls. Moreover, he is interested in the control of autonomous systems by considering variables that are hard to predict, such as human intents. Prior to joining the group, I completed my undergraduate in Mechanical & Electrical Control Engineering from Handong Global University in South Korea.
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.
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 Olivieri
PhD student in Mechanical Engineering (starting 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.
Jaime Landeros
PhD student in Mechanical Engineering (starting Fall 2024)
Jacobs Hall (EBU1) | Room 4207
Jaime is interested in applying data-driven model reduction for quantifying the uncertainties in global-scale, multi-physics models of space weather, as well as in using the lessons learned from the application of these methods to complex physical systems to develop them. 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.
Undergraduate Students
Juan Diego Draxl Giannoni
BS student in Aerospace Engineering and Physics (Senior)
Juan Diego is exploring the use of lifting transformations in structure-preserving model reduction of large-scale Hamiltonian systems. As part of his senior Physics thesis, he aims to discover whether lifting is a viable approach to reduce the computational cost and still conserve the structure of the system. Juan Diego is also interested in stellar radio astronomy and in the use of machine-learning methods to discover brown dwarf binaries. While completing his B.S. in Aerospace Engineering and B.S. in Physics at UCSD, he is an active member at the Rocket Propulsion Laboratory (RPL).
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.