Congratulations to Andrew Reynoso, a rising third-year Physics graduate student in the Rubenstein Group, for receiving the NSF Graduate Research Fellowship! Andrew is working on new approaches for many-body nonequilibrium phase transitions.

Team QUICK, Quantum-Informed Simulations of Covalent Kinase Inhibitors, led by Professor Rubenstein has won the first round of the NIH Quantum Computing Grand Challenge. Members of Team QUICK also include Norman Tubman, Grant Rotskoff, Ryan LaRose, James Fraser, and David Delgado.

We develop new, high-accuracy approaches for studying the electronic structure of solid state materials, heterogeneous catalysts, and molecules. We are known for our stochastic methods both for ground state and finite temperature problems that determine quantum properties using random numbers.

We work on developing new algorithms and simulation techniques for quantum, molecular, and biological computers, as well as explore the potential applications of alternative computing to problems in chemistry and materials science.

We focus on developing novel statistical and machine learning methods for simulating the behavior and predicting the evolution of biomolecules. Many phenomena in biology are mediated by proteins and other biomolecules that have very complex structures and dynamics.