Tom Miller was born in San Diego, California and grew up in College Station, Texas. After completing his undergraduate degree at Texas A&M University, he attended graduate school in the UK on a British Marshall Scholarship and received his Ph.D. from Oxford University in 2005, working with David Clary and David Manolopoulos. Tom then returned to the US for a postdoctoral fellowship at UC Berkeley to work with David Chandler and Bill Miller. He joined the faculty of the California Institute of Technology in 2008 and was promoted to full professor in 2013. While at Caltech, Tom has received awards that include the Sloan Research Fellowship, NSF CAREER Award, Associated Students of Caltech Teaching Award, Dreyfus Teacher-Scholar Award, and the 2015 ACS Early-Career Award in Theoretical Chemistry.
Feizhi earned his PhD in theoretical and computational chemistry from the University of Washington, Seattle, for his work on developing excited-state electronic structure methods to understand nonlinear optical processes. His current work focuses on developing quantum embedding methods based on mean-field theory to understand inhomogeneous photo-catalysis for CO2 reduction.
Matt received his PhD in physical chemistry from MIT in 2016. As a Resnick postdoctoral fellow, he works on wavefunction-in-DFT embedding with a focus on the catalysis of small molecules.
Ioan earned his PhD in computational condensed matter physics from the University of Edinburgh, UK, for his work on solid hydrogen at extreme conditions. His current work aims at understanding inter-molecular interaction in liquids through multi-dimensional spectroscopy simulations.
Philip earned his PhD in Chemistry from Yale University for his work on non-adiabatic ring polymer molecular dynamics and orthogonality-constrained density functional theory. As a DFG postdoctoral fellow, his current research focuses on the development and application of mixed quantum-classical methods to study chemical processes at interfaces.
Leanne earned her PhD in Physical Chemistry from Stanford University on an NSERC PGS-D3 Scholarship. Her current research focuses on applying embedded mean-field theory to the electrocatalytic reduction of carbon dioxide.
Stephen earned his PhD in Physics from City University of New York for his work on nuclear magnetic resonance studies of next-generation battery electrolytes. As an AGEP postdoctoral fellow, his current research focuses on using simulation in tandem with experimental methods to study disruptive battery chemistries.
Tamara received her PhD in Chemistry from ETH Zurich in 2018. As an SNSF postdoctoral fellow, she now works on the development and application of molecular-orbital-based machine learning.
Sebastian received a BS in chemistry/biochemistry and a minor in physics from the University of California, Santa Barbara. He was awarded the Resnick Fellowship at Caltech and his PhD work focuses on applying and developing wavefunction-in-DFT embedding methods to computationally guide the better design of liquid electrolytes in lithium-ion batteries.
Jorge obtained a BS in chemical engineering from the University of Puerto Rico at Mayaguez. His PhD work focuses on the development of accelerated molecular dynamics methods through path sampling.
Daniel earned his BS in chemical engineering from Brown University before spending two years applying enhanced sampling methods to protein-protein complexes at D. E. Shaw Research. He received the Department of Energy Computational Sciences Graduate Fellowship to pursue his PhD work on understanding dendrite formation in lithium metal batteries and the development of next generation solid polymer electrolytes.
Matthew received a MChem in chemistry from the University of Oxford, UK. He currently uses atomistic and coarse-grained molecular dynamics simulations to investigate the behavior of proteins as they are translated by the ribosome.
Xuecheng earned a B.Sc. in chemical physics from University of Science and Technology of China. His current work is focusing on developing novel theoretical methods in quantum dynamics and applying them to the non-adiabatic processes in the condensed phase.
Jeongmin received a MS in chemistry from Sogang University, South Korea for his work on heterogeneous dynamics in soft materials. His PhD work aims at understanding a polymer electrolyte/electrode interface for battery applications.
Sherry received a BS in Chemistry/Math/Biochemistry/Molecular Biology and a minor in Computer Science from University of Wisconsin-Madison. She was awarded a Caltech graduate fellowship, and her current research focuses on nucleic acid secondary structure modeling using machine learning and molecular dynamics tools.
Roman obtained his BS in Chemistry from the University of Toronto, Canada, where he studied conductance of DNA molecules. He was awarded a Caltech graduate fellowship and he is currently working on the dynamics of various chemical systems using mixed quantum-classical approaches.
GS = Graduate Student, PD = Postdoc, UG = Undergraduate
Nandini Ananth (PD)
Bernardo Araujo (GS)
Taylor Barnes (GS)
Software Scientist, MolSSI
Franziska Bell (PD)
Data Science Manager, Uber
Nick Boekelheide (GS)
Connor Coley (UG)
Lila Forte (GS)
University of Colorado Boulder
Todd Gingrich (UG)
Jason Goodpaster (GS)
University of Minnesota Website
Pengfei Huo (PD)
University of Rochester
Jakub Kaminski (PD)
Paul Scherrer Institute, Zurich
Arvind Kannan (UG)
Josh Kretchmer (GS)
Joonho Lee (GS)
Matt Mayers (UG)
Artur Menzeleev (GS)
Michiel Niesen (GS)
Romelia Salomón-Ferrer (PD)
Brett Savoie (PD)
Eric Sundstrom (PD)
Reid Van Lehn (PD)
University of Wisconsin
Connie Wang (GS)
Mike Webb (GS)
University of Chicago
Ralph Welsch (PD)
Bin Zhang (GS)