Mentors and Projects

First/Given Name	Last/Family Name	Institution	SRP Project Title	Field/Research Area
Ann	Almgren	Lawrence Berkeley National Laboratory (LBNL)	Computational Modeling: From Cancer Cells to Atmospheric Flows	Computational Science
Rick	Archibald	Oak Ridge National Laboratory (ORNL)	Data Compression of Streaming Scientific Data	Applied Mathematics and Statistics
Kazi	Asifuzzaman	Oak Ridge National Laboratory	Extending Simulation Infrastructures to model CPU, GPU and Memory	Computer Architecture
Prasanna	Balaprakash	Argonne National Laboratory	Automated algorithmic discovery for rigorous automated deep learning development	Computer Science, Machine Learning, High Performance Computing
Colleen	Bertoni	Argonne National Laboratory (ANL)	Testing Framework Improvements for an exascale system	Computer Science
Johannes P.	Blaschke	Lawrence Berkeley National Laboratory	Simulating Microorganism Motion using HPC	Computational Sciences
Robert	Bridges	Oak Ridge National Laboratory	Privacy Preserving Optimization	Differential Privacy
Kevin A.	Brown	Argonne National Laboratory (ANL)	Investigating and Optimizing Supercomputer Performance	high-peformance computing (supercomputing)
Reuben D.	Budiardja	Oak Ridge National Laboratory (ORNL)	Machine Learning for Evalution of Equation of State	Astrophysics, Machine Learning
Paolo	Calafiura	Lawrence Berkeley National Laboratory	Optimizing inference of a large scale geometric learning physics pipeline	Machine Learning, HPC, optimization
Maria	Chan	Argonne National Laboratory	Using AI and Quantum Physics to Understand and Improve Renewable Energy Materials	Materials Science
Tyler	Chang	Argonne National Laboratory	Algorithms and Analysis for Surrogate-based Optimization	Optimization, Machine Learning
Emil	Constantinescu	Argonne National Laboratory	Algorithms for adaptive numerical simulations	Scientific computing, numerical analysis
Johnny	Corbino	Lawrence Berkeley National Laboratory (LBNL)	MOLE port to UPC++	Mathematical library
Silvia	Crivelli	LBL	Natural Language Processing to Extract Concepts from Clinical Notes	Computational Science
Prasanna	Date	Oak Ridge National Laboratory	Hardware Design for Energy-Efficient Artificial Intelligence	Computer Engineering
Prasanna	Date	Oak Ridge National Laboratory	Quantum Artificial Intelligence	Quantum Computing
Bert	de Jong	Lawrence Berkeley National Laboratory	Computational chemistry at the exascale	Quantum chemistry, HPC
Bert	de Jong	Lawrence Berkeley National Laboratory	Designing new molecules and materials with AI	Chemistry, materials, machine learning
Bert	de Jong	Lawrence Berkeley National Laboratory	Scientific discovery with quantum computers	quantum computing, physics
Bert	Debusschere	Sandia National Laboratories	Surrogate Models for Improving Atmospheric Modeling	Computational Science
Mauro	Del Ben	LBNL	Porting strategies for next generation leadership class HPC architectures	Computational Materials Science
Anshu	Dubey	Argonne National Laboratory	Performance Characterization	Computational Science
Christopher	Eldred	Sandia National Laboratories	Improving the Portable Atmospheric Model	Atmospheric Science and Numerical Methods
Sam	Foreman	Argonne National Laboratory	Automated Benchmarking and Performance Analysis on HPC Systems	Machine Learning, High-Performance Computing
Neil	Getty	Argonne National Lab	Computer Vision in Robotic Surgery	Computer Vision, Machine Learning, Robotics
Pieter	Ghysels	Lawrence Berkeley National Laboratory (LBNL)	Fast Solvers and Preconditioners for Multiphase Flow	Computer Science
Pieter	Ghysels	Lawrence Berkeley National Laboratory (LBNL)	Preconditioning for Implicit Runge-Kutta Time Integrators	Computer Science
Anna	Giannakou	Lawrence Berkeley National Laboratory (LBNL)	Next Generation Infrastructure	computer science
Brendan	Gifford	Los Alamos National Laboratory	Actinide Composition using Laser-Induced Breakdown Spectroscopy and Machine Learning	Computational Spectral Analysis
Andrew	Gillette	Lawrence Livermore National Laboratory	Deep reinforcement learning for adaptive time stepping methods	Scientific machine learning
Christian	Glusa	Sandia National Laboratories	Algebraic multigrid for hierarchical matrices	multigrid, hierarchical matrices, nonlocal operators, fractional equations
William	Godoy	Oak Ridge National Laboratory	Introduction to workflow orchestration in HPC using high-level languages Python and Julia	Computer Science
James	Goff	Sandia National Laboratories	Automated modeling and materials science	Computer Science/Physics/Materials Science
Ashlyn	Grinevich	Sandia National Laboratories	Determining and Mitigating Solar-induced Qubit Frequency Error on a Trapped Ion Testbed	Quantum Computing
Paul H.	Hargrove	Lawrence Berkeley National Laboratory	Pagoda: UPC++/GASNet for lightweight communication and global address space support	programming models, languages and libraries for high-performance computing
Graham	Harper	Sandia National Laboratories	Matrix-free linear solvers for large-scale systems	Mathematics, linear algebra, multigrid
Steven	Hofmeyr	LBL	Extreme-scale Metagenome Assembly	bioinformatics
John	Holmen	Oak Ridge National Laboratory	AI/ML-Focused Regression Testing for Leadership-Class HPC Systems	High Performance Computing
Paul	Hovland	Argonne National Laboratory	Randomized Derivative Computation	Differentiable Programming
Jan	Hueckelheim	Argonne National Laboratory	Combinatorial problems in back-propagation	Computer Science, Machine Learning, Algebra
Joseph	Insley	Argonne National Laboratory	Bi-Directional In Situ Analysis and Visualization	Application of In Situ frameworks in HPC
Hans	Johansen	Lawrence Berkeley National Laboratory (LBNL)	Biomolecular Architect Supercomputing Workflow	Computational Biology
Murat	Keceli	Argonne National Laboratory	Interactive High-Performance Computing with Jupyter	Computational Chemistry
Christopher	Kelly	Brookhaven National Laboratory	ECP CODAR - Analysis of the Chimbuko Performance Data Provenance Database	High Performance Computing, Performance Analysis
Jeffrey	Larson	Argonne National Laboratory	Running ensembles of computational simulations with libEnsemble	Numerical Simulations, Computer Science, High-Performance Computing
Boyan	Lazarov	LLNL	Large Scale Gradient-Based Optimization and Design	computational science, modeling and optimization
Sherry	Li	LBNL	Exploiting Structured Random Matrices in Randomized Sketching	Linear algebra, randomization, scalable solvers
Chunhua	Liao	Lawrence Livermore National Laboratory	HPC-FAIR: A Framework Managing Data and AI Models for Analyzing and Optimizing Scientific Applications	Computer science
Meifeng	Lin	Brookhaven National Laboratory	Performance Evaluation and Optimization for Exascale Lattice QCD Simulations	High Performance Computing
Yang	Liu	Lawrence Berkeley National Lab	Advanced performance autotuning with surrogate models	autotuning
Vanessa	Lopez-Marrero	Brookhaven National Laboratory	Accelerating Large-Scale Simulations for a Particle-Resolved Direct Numerical Simulation Model	Scientific computing; partial differential equations (PDE) solvers; Krylov subspace methods for linear systems
Ryan	Ly	Lawrence Berkeley National Laboratory	Machine learning methods to process neuronal spiking data	Machine learning, neuroscience
Sandeep	Madireddy	Argonne National Laboratory	Probabilistic Machine Learning for Scientific Data	Scientific Machine Learning
Tanwi	Mallick	Argonne National Laboratory	Spatiotemporal forecasting using machine learning techniques	Machine learning
Dan	Martin	Lawrence Berkeley National Laboratory	Ice Sheet Modeling with BISICLES	Scientific computing, climate
Victor	Mateevitsi	Argonne National Laboratory	Virtual Reality Digital Twins	Robotics, Virtual Reality
Romit	Maulik	Argonne National Laboratory	Studying deep learning forecast techniques for nonlinear dynamical systems	Deep learning
Kathryn	Maupin	Sandia National Laboratories	Enhancing model predictivity through model form error quantification	Computational modeling, model form error
Ver√≥nica G.	Melesse Vergara	Oak Ridge National Laboratory (ORNL)	Understanding software utilization patterns on OLCF systems	Build systems, software environments
Mark	Miller	LLNL	Blood vessel network modeling, simulation and analysis with MFEM and VisIt	modeling and simulation
Arvind	Mohan	Los Alamos National Lab	Deep Learning Based Sparse Sensing for Earth System Monitoring	Applied Mathematics and Machine Learning
Jose M.	Monsalve Diaz	Argonne National Laboratory	LLVM in High Performance Computing	Compiler technology, High Performance Computing
Pablo	Moriano	Oak Ridge National Laboratory	Next-Generation Security for Interconnected Systems	Data science, machine learning, cybersecurity
Hai Ah	Nam	Lawrence Berkeley National Laboratory (LBNL)	HPC at NERSC	HPC, Workflows, AI/ML, RSE
Sri Hari Krishna	Narayanan	Argonne National Laboratory	Quantum differentiation	Quantum Computing
Phan	Nguyen	Lawrence Livemore National Laboratory	Carbon Capture Simulation for Industry Impact	Machine Learning/Applied Mathematics
Andy	Nonaka	Lawrence Berkeley National Laboratory	Multiphysics Algorithm and Code Development	PDE Modeling and Simulation
Andy	Nonaka	Lawrence Berkeley National Laboratory	Superconducting Electromagnetic Models and Simulation	Computational Electromagnetics
Dossay	Oryspayev	Brookhaven National Laboratory	Location Privacy in WSN	Wireless Sensor Networks, Computer Science, Computer Engineering
Suzanne	Parete-Koon	Oak Ridge National Laboratory	HPC Crash Course Tutorial Development	High Performance Computing
Slaven	Peles	ORNL	GridKit	Computations for power systems
Talita	Perciano	Lawrence Berkeley National Laboratory	Probabilistic Graphical Deep Learning	Computer science, applied mathematics, applied statistics
Mauro	Perego	Sandia National Laboratories	Computational Modeling and Analysis of Ice Sheets	scientific computing and machine learning
Adrian	Perez Dieguez	Lawrence Berkeley National Laboratory (LBNL)	Using Machine Learning to tune large scale applications on HPC systems	Performance and Algorithms Tuning
Tom	Peterka	Argonne National Laboratory	Triple Convergence of HPC, BD, and AI Through In Situ Workflow Tools	Computer Science
Peter	Pirkelbauer	Lawrence Livermore National Laboratory	Source-to-Source Translator-Based Code Optimization	Computer Science
Doru Thom	Popovici	Lawrence Berkeley National Lab	Better GPU-based Solvers	Performance Modeling and Applied Mathematics
Doru Thom	Popovici	Lawrence Berkeley National Lab	Which tool to use for hardware design?	Computer architecture
Line	Pouchard	Brookhaven National Laboratory	ECP CODAR - Chimbuko - enhanced real time performance anomaly analysis	performance analysis
Line	Pouchard	Brookhaven National Laboratory	FAIR metadata for Chimbuko and RECUP	FAIR data management services for HPC workflows
Benjamin	Priest	Lawrence Livermore National Laboratory	HPC-scale statistical models with astronomy applications	statistics, scientific computing, machine learning
Krishnan	Raghavan	Argonne National Laboratory	Graph Continual Learning	Machine Learning; Graph Theory
Lavanya	Ramakrishnan	Lawrence Berkeley National Laboratory (LBNL)	Capturing Provenance for Scientific Workflows	workflow management
Lavanya	Ramakrishnan	Lawrence Berkeley National Laboratory (LBNL)	Data Technologies and Interfaces	Data management
Lavanya	Ramakrishnan	Lawrence Berkeley National Laboratory (LBNL)	Develop a typology and design framework for scientific software	user research
Lavanya	Ramakrishnan	Lawrence Berkeley National Laboratory (LBNL)	Next Generation User Interfaces for HPC	User research
Lavanya	Ramakrishnan	Lawrence Berkeley National Lab	Towards Self-Guiding Field Laboratories	Automation/Self-driving
Jorge	Ramirez Osorio	Oak Ridge National Lab	Stress in plants: from data to models	Mathematical ecology
Siddhisanket	Raskar	Argonne National Lab	Explore AI/ML Architectures to accelerate Science	Computer Architectures, Machine Learning, Optimizations
Katherine	Rasmussen	Lawrence Berkeley National Laboratory (LBNL)	Flang compiler testing	parallel programming language compilers and runtime libraries
Ryan	Richard	Ames National Laboratory	NWChemEx Development	Software Development
Silvio	Rizzi	Argonne National Laboratory (ANL)	Aconcagua	Computer Science
Paul	Romano	Argonne National Laboratory	OpenMC Development	Nuclear science and engineering
Robert B.	Ross	Argonne National Laboratory (ANL)	Efficient data management for scientific computing	High performance computing (HPC), data management
Damian	Rouson	Lawrence Berkeley National Laboratory	Caffeine	Parallel Runtime Libraries
Robert Cameron	Rutherford	PNNL	Exascale Grid Optimization - Increasing the resiliency of the power grid	Power Systems, Sparse/Dense Linear Algebra, Performance Optimization, Software Engineering
Rajesh	Sankaran	Argonne National Laboratory	Edge to All Triggers in Edge Computing	Computer Science and Engineering
David I.	Santiago	LBNL/AMCR	Quantum Computing Experimentation	Quantum Information Science
Mohan	Sarovar	Sandia National Laboratories	Quantum manifold learning	Data science
Sudip	Seal	Oak Ridge National Laboratory (ORNL)	High-Performance Spatial Data Analysis Methods	High-Performance Computing
Pablo	Seleson	Oak Ridge National Laboratory	Peridynamics Modeling and Simulation for Exascale Fracture Computations	Applied and Computational Mathematics
John	Shalf	LBNL	HPC Beyond Moore's Law	Computer Architecture
SHAHZEB	SIDDIQUI	Lawrence Berkeley National Laboratory (LBNL)	Spack Infrastructure at NERSC	CI, Spack
Christopher	Siefert	Sandia National Laboratories	Machine Learning Applied to High-Performance Computing in Trilinos/MueLu	Machine Learning
Ember	Sikorski	Sandia National Laboratories	Machine learning materials models for nuclear fusion materials	Atomistic materials modeling, machine learning
Elliott	Slaughter	SLAC National Accelerator Laboratory	Legion Programming System	Computer Sciene
Thomas	Smith	Sandia National Laboratories	Verification and High-Fidelity Physics Modeling of Multi-Fluid Plasma Codes	Computational Plasma Science
David	Trebotich	Lawrence Berkeley National Laboratory	Performance portability of Chombo-Crunch on accelerator-based machines	computational science
Ray	Tuminaro	Sandia National Laboratories	Quasi-geometric algebraic multigrid linear solvers for complex PDE systems	scientific math libraries and computational linear algebra
Bruno	Turcksin	Oak Ridge National Laboratory	The Kokkos ecosystem	Computer Science
Pedro	Valero-Lara	ORNL	Portal HPC	HPC programming
Roel	Van Beeumen	Lawrence Berkeley National Laboratory	Simulation of quantum algorithms	Quantum Computing
Hubertus	van Dam	Brookhaven National Laboratory	Exploring catalytic reactions in zeolites for NWChemEx science challenge	Computational Chemistry
Jay	Van Der Wall	Sandia National Laboratories	Improved Modeling of Trapped Ion Quantum Computers	Computational Geometry
Michael	Wehner	LBNL	Climate Change impacts on California Agriculture	Climate change
Rebekah	White	Sandia National Labs	Sensitivity analysis for complex systems in national security	Scientific computing
Theresa	Windus	Ames National Laboratory	Extreme-scale computational chemistry with NWChemEx	computational chemistry
Mitchell	Wood	Sandia National Labs	Pushing the Limits of Representation for Machine Learned Atomistic Models	Computational Material Science
Justin	Wozniak	Argonne National Laboratory (ANL)	HPC Workflow Performance	Computer Science
John	Wu	LBNL	High-performance Scientific Data Management	data management, memory management
John	Wu	LBNL	High-performance Scientific Data Management	data management, memory management
Wei	Xu	Brookhaven National Lab	Practical Explainable Artificial Intelligence Solutions for Scientific Problems	computer science, artificial intelligence, visualization, human computer interaction
Zhi (Jackie)	Yao	Lawrence Berkeley National Laboratory	AI Empowered Codesign of Beyond Moore‚Äôs Law Microelectronics	Artificial Intellegence
Shinjae	Yoo	Brookhaven National Laboratory	Multi-modal Genomics -- GeneBERT	AI/ML
Guannan	Zhang	Oak Ridge National Laboratory	Foundational Research on AI and Machine Learning for Scientific Applications	AI and Machine Learning
Hong	Zhang	Argonne National Laboratory, USA	Traffic flow modeling and simulation on exascale machine	Mathematics, computational and data science, high-performance computing
Junchao	Zhang	Argonne National Laboratory	A VScode Extension to Debug MPI Programs	Computer science; High performance computing
Hui	Zhou	Argonne National Laboratory (ANL)	Message Passing Interface (MPI) for Multithreading	Runtime System