Contributed to open source projects such as libROM, pylibROM, LaghosROM, and more. Has given talks at various international conferences and seminars.
Research Experience
Currently a staff scientist at LLNL’s CASC group, where he develops efficient foundation models for computational science. Leads the libROM team in data-driven surrogate modeling.
Education
Earned his BS from Cornell and his PhD from Stanford. He was a postdoc at Sandia National Laboratories and Stanford University before joining LLNL in 2017.
Background
Research interests include creating surrogates and reduced-order models to accelerate time-critical simulations in areas such as inverse problems, design optimization, and uncertainty quantification. He has pioneered advanced ROM techniques.
Miscellany
Personal interests and other information not provided.