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Goetz Research Group

V = visiting scientist, P = postdoctoral scholar, G = graduate student, U = undergraduate student, H = High school student.

Current members and visitors

Vikrant Tripathy, postdoctoral scholar
(P) Vikrant Tripathy (PhD 2024, Indiana University). Develops QM/MM models with data-driven many-body potentials for condensed-phase simulations on massively parallel hardware with the QUICK QM code.
(Since April 2024)
Kurt O'Hearn, postdoctoral scholar
(P) Kurt O'Hearn (works at MSU, PhD 2023). Performance optimization of the QUICK QM code, fast algorithms for electron repulsion integrals on massively parallel hardware, Nvidia CUDA and AMD HIP/ROCm.
(Since November 2023)
Etienne Palos, graduate student
(G) Etienne Palos (collab with Francesco Paesani). Develops QM/MM methods in the QUICK QM code for simulations with polarizable many-body potentials.
(Since November 2022)
Mukesh Mahajan, Senior Scientist
(V) Mukesh Mahajan (visiting senior scientist). Develops computational models for cancer immunotherapy involving programmed cell death receptor and Mn transporter proteins. Molecular dynamics, also wet lab and NMR.
(Since September 2022)
Jeremy Tow, Undergraduate Student
(U) Jeremy Tow. Porting the Amber molecular dynamics code from CUDA to SYCL in collaboration with Intel software engineers. Explore portability across GPU vendors. Also maintains lab computer infrastructure.
(Since February 2024)
Rahul Jones, Undergraduate Student
(U) Rahul Jones. Assists with testing of the SYCL port of the Amber molecular dynamics software on Intel and Nvidia GPUs.
(Since January 2024)
Espresso
Espresso - keeps the lab going.
Miles Keiser, High School Intern
(H) Miles Keiser (REHS 24 intern from Del Lago Academy). Molecular deep learning on GPUs and AI processors. Benchmark and port Tensorflow and Pytorch based software on supercomputers and cloud platforms.
(Since June 2024)
Ethan Bull-Vulpe, undergraduate
(G/U) Ethan Bull-Vulpe (collab with Francesco Paesani). Software wizard, developing Python workflow tools for automated machine learning of many-body potentials for molecular simulations.
(since April 2018).

Former members and visitors

Sorted chronologically.

Sophia Tao, high school intern
(H) Sophia Tao (REHS 24 intern from Canyon Crest Academy). Molecular deep learning on GPUs and AI processors.
(Summer 2024)
Yaoguang Zhai
(G) Yaoguang Zhai (collab with Sean Gao and Francesco Paesani). Artificial Intelligence for chemical space exploration and molecular simulations. C++/CUDA implementation of machine learning algorithms for molecular simulations. Now at Amazon.
(June 2017 to March 2024)
April Cheng, undergraduate student
(U/H) April Cheng. Electronic structure calculations, development of many-body potentials for simulations of HOX in aqueous aerosol. Accepted into MIT.
(June 2020 to September 2024)
Nicole Pi, high school intern
(H) Nicole Pi (REHS 21 intern from Del Norte High School). Parallel MPI and GPU benchmarks of the Quick QM code on HPC systems. Accepted into Columbia University.
(June 2021 to July 2023)
Ishan Kapoor, high school intern
(H) Ishan Kapoor (REHS 22 intern from Del Norte High School). Machine learning for computational chemistry.
(Summer 2022).
Nitika Tatineni, high school intern
(H) Nitika Tatineni (REHS 22 intern from Canyon Crest Academy). Machine learning for computational chemistry. Accepted into Columbia University.
(Summer 2022).
Jocelyn Zhang, high school intern
(H) Jocelyn Zhang (REHS 22 intern from Del Norte High School). Machine learning for computational chemistry.
(Summer 2022).
Parsa Pourghasem, high school intern
(H) Parsa Pourghasem (REHS 22 intern from Westview High School). Machine learning for computational chemistry.
(Summer 2022).
Arshya Nayebnazar, high school intern
(H) Arshia Nayebnazar (REHS 22 intern from Canyon Crest Academy). Machine learning for computational chemistry.
(Summer 2022).
Saatvik Aggarwal, high school intern
(H) Saatvik Aggarwal (REHS 21 intern from Scripps Ranch High School). Parallel MPI and GPU benchmarks of the Quick QM code on HPC systems.
(June 2021 to June 2022)
Sanjana Gurram, high school intern
(H) Sanjana Gurram (REHS 20, intern from Westview High School). QM/MM molecular dynamics simulations of proton transport in Cytochrome c oxidase. Analysis of Slater type basis set completeness for intermolecular interaction energies. Accepted into UC Berkeley.
(June 2020 to September 2021)
Benjamin Hong, high school intern
(H) Benjamin Hong (REHS 20, intern from Torrey Pines High School). Electronic structure calculations, development of many-body potentials for simulations of HOX in aqueous aerosol. Accepted into Caltech.
(June 2020 to September 2021))
Vinicius Cruzeiro
(P) Vinícius Cruzeiro (PhD 2019, University of Florida). Many-body potentials and machine learning approaches for realistic molecular simulations, from atmospheric chemistry to biomolecular systems. QUICK and AMBER developer. Joined Martinez lab at Stanford University. Now at Architect Therapeutics.
(May 2019 to August 2021)
Ishita Vasishtha, high school intern
(H) Ishita Vasishtha (REHS 21 intern from Del Norte High School). Parallel MPI and GPU benchmarks of the Quick QM code on HPC systems.
(June 2021 to August 2021).
Teffanie Goh
(U) Teffanie Goh. Electronic structure calculations of reaction mechanisms and molecular properties. Studies of proton uptake in cytochrome c oxidase. Joined PhD program at University of Chicago.
(October 2018 to September 2020)
Attila Fekete, postdoc
(P) Attila Fekete (PhD 2019, University of Debrecen). Molecular dynamics simulations of cytochrome c oxidase, development of force field parameters, development of QM/MM software in Amber. Joined the Hungarian National HPC Center.
(July 2019 to July 2020)
Rupin Mittal
(H) Rupin Mittal, intern from Del Norte High School. Constant pH molecular dynamics simulations and data analysis.
(February 2020)
Manjari Senthilkumar
(H) Manjari Senthilkumar (REHS 19 program). Fast computation of molecular many-body potentials via compiler optimized permutationally invariant polynomials.
(June 2019 to December 2020)
Spencer Hamilton
(U) Spencer Hamilton, undergradate intern from Palomar College. Python workflow tools and many-body potential for N2O4.
(June 2018 to December 2019)
Jake Sager
(H) Jake Sager (REHS 19 program). Quantum chemistry of proton pumping in cytochrome c oxidase.
(Summer 2019)
Ronak Roy, high school intern
(H) Ronak Roy, intern through UCSD MAPS program. Machine learning of many-body potentials, Python workflow tools, compute cluster administration, QM benchmark calculations (DFT, CCSD(T)).
(August 2018 to July 2019)
Derek Tse, undergraduate
(U) Derek Tse. Python workflow tools for many-body potentials.
(October 2017 to April 2019)
Ganesh Ranganath
(G) Ganesh Ranganath. Software engineering, molecular simulation software for massively parallel graphics processors.
(October to December 2018)
REHS 18, Conor, April, Andy, Aemilia, Ronak
(H) From left: Conor Sefkow, April Cheng, Andy, Aemilia Russ, Ronak Roy (REHS 18 program). Machine learning of many-body potentials for simulations of atmospherically relevant molecules.
(summer 2018)
Tim Tan, undergrad
(U) Tim Tan, visiting undergraduate student from Tongji University in Shanghai. Benchmarking, profiling and optimization of C++/OpenMP and CUDA polynomial and neural network potentials.
(June to August 2018)
Nathaniel Danandeh, undergrad
(U) Nathaniel Danandeh (left, having fun with Yaoguang). C++ and CUDA implementation of neural network based many-body potentials.
(October 2017 to June 2018)
Thuong Nguyen, postdoc
(P) Thuong (Emma) Nguyen. Machine learning of many-body potentials. Joined the Insight Data Science Fellows program. Now Data Scientist at [24]7.ai.
(February 2017 to May 2018)
Sandeep Reddy, postdoc
(P) Sandeep Reddy. Many-body potential and molecular dynamics simulations of N2O5 solvation. Joined IIT Kharagpur as Assistant Professor.
(January to May 2018).
Stanislav Simko, visiting graduate student from
           Utrecht University
(G) Stanislav Simko, visiting graduate student from Utrecht University (Rosa Bulo).
(June 2018)
Aage Skjevik, postdoc
(P) Aage Skjevik. Force field parameterization, constant pH and QM/MM molecular dynamics simulations of cytochrome c oxidase. Joined Bergen University in Norway as senior postdoc.
(November 2016 to July 2017).
Ian Wildenhain, REHS 17
(H) Ian Wildenhain, REHS 17 program. Benchmarking the ADF density functional theory program on multi- and many-core Intel architectures. Joined UCLA in Fall 2018 for CSE major.
(summer 2017)
Brian Hoh, REHS 17
(H) Brian Hoh, REHS 17 program. Molecular dynamics simulations of N2O5 absorption into water clusters. Went to MIT in Fall 2018.
(summer 2017)
Benjamin Schweitzer, Visiting graduate student
(G) Benjamin Schweitzer, visiting graduate student from ENS Lyon in France. Learning Amber and free energy calculations with thermodynamic integration.
(April 2017)
Yu-Ching Hu, MSc student
(G) Yu-Ching Hu, MSc student in Materials Science at UCSD. Developing an interface to enable QM/MM simulations with Amber and the DFTB+ library. Joined NCSU CSE graduate program Fall 2017.
(July to September 2016)
Ryan Nemiroff
(H) Ryan Nemiroff, back for the REHS 16 program. Automated testing of numerical accuracy of Slater type basis sets for density functional theory calculations. Joined UCLA EE undergraduate program Fall 2017.
(summer 2016)
Jamie Smith
(H) Jamie Smith, REHS 16 program. Implementing a CMake build system for the AMBER software package for biomolecular simulations. Joined USC CSE undergraduate program in Fall 2017. Now at Realitivty Space.
(summer 2016)
Erwin Ni
(H) Erwin Ni, REHS 16 program. Simulations of enzymatic reactions in a thioesterase enzyme with QM/MM approaches. Undergrad at UC Berkeley since Fall 2017.
(summer 2016)
Longhua Yang, visiting graduate student from Nanchang,
           China
(G) Longhua Yang, visiting graduate student from Nanchang University, China. She worked on molecular dynamics simulations of cytochrome c oxidase to identify water transport pathways. Now Assistant Professor at Zhengzhou University.
(November 2013 to March 2016)
Rodrigo de Ferreira Morais, postdoc at ENS Lyon
(P) Rodrigo de Ferreira Morais, postdoc at the ENS Lyon in France, collaborating on my NSF award on force field development for bifunctional catalysis at platinum surfaces (February 2016)
Johannes Brust, UCGFP 15 fellow
(G) Johannes Brust from UC Merced's applied math program, worked on large scale optimization algorithms as UC graduate fellow. Now Assistant Professor at Arizona State University. (summer 2015, back in summer 2016)
Ryan Nemiroff and Grace Li
(H) Ryan Nemiroff (went on to study EE at UCLA) and Grace Li, presenting at REHS 15, worked on molecular dynamics simulations for biofuels production
Pedro D. Bello-Maldonado
(G) Pedro D. Bello-Maldonado, XSEDE 14 scholar from FIU, now CS graduate program at UIUC, worked on QM/MM software performance
Prathyush, Pietro, Evan
(H) Prathyush Katukojwala (went on to study CSE at UCLA), Pietro Sette, Evan Wildenhain (went on to study CSE at Princeton).
Presenting at REHS 14, worked on QM/MM software development
Dogancan Yarka
(U) Dogancan Yarka with Gordon
Rahul Nori
(G) Rahul Nori from UND presenting at XSEDE 13
Stephen Clark
(H) Stephen Clark presenting at REHS 13,
went on to study CSE at Carnegie Mellon
Keshav Tadimeti
(H) Keshav Tadimeti presenting at REHS 12, went on to study at UCLA
Matthew Clark
(H,U) Matthew Clark, went to study at CalTech
Balachandar Kesavan
(H) Balachandar Kesavan at REHS 12
Roger Ouyang
(H) Roger Ouyang presenting at REHS 12

last modification: 2024/09/23