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Optimizers in AMCR (in no particular order)
Optimizers in AMCR (in no particular order)
Juliane Mueller
Juliane Mueller
Applied Mathematics and Computational Research Division (AMCR), staff scientist
Algorithm development for computationally expensive black-box optimization problems
Hyperparameter Optimization of Deep Learning models for scientific applications
Vincent Dumont
Vincent Dumont
Applied Mathematics and Computational Research Division (AMCR), postdoc
Implementation of hyperparameter optimization algorithms and deployment on HPC systems and massively parallelized HPO applications
Alejandra Castillo Roldan
Alejandra Castillo Roldan
Oregon State, grad student
Dimension reduction, sensitivity analysis, active subspaces, optimization
Jeffrey Donatelli
Jeffrey Donatelli
Applied Mathematics and Computational Research Division (AMCR) & Center for Advanced Mathematics for Energy Research Applications (CAMERA), staff scientist
Computational harmonic analysis, numerical linear algebra, and optimization applied to solving inverse problems from experimental data
Optimizers in Other Divisions
Optimizers in Other Divisions
Anubhav Jain
Anubhav Jain
Energy Technologies Area (ETA)
New materials discovery and design using a mix of theory, computation, and data mining
Alex Dunn
Alex Dunn
UC Berkeley, Material Science Department, Ph.D. Candidate
Optimization for accelerated high-throughput materials design of batteries, thermoelectrics, and solar cells
Energy Technologies Area (ETA), Simulation Research Group
Thermal building simulation, computer simulation methodologies, low-energy buildings, optimization, building controls
Remi Lehe
Remi Lehe
Accelerator Technology and Applied Physics Division (ATAP)
Large-scale numerical simulations and theoretical analysis in laser-plasma acceleration
Ji Qiang
Ji Qiang
Accelerator Technology and Applied Physics Division (ATAP)
Large-scale particle simulations, Numerical methods, HPC for scientific applications
Oluwamayowa (Mayo) Amusat
Oluwamayowa (Mayo) Amusat
Scientific Data Division
Development of data-driven surrogate modelling techniques for advanced energy systems.
Marcus Noack
Marcus Noack
CAMERA
Stochastic Processes, Function Optimization, Autonomous Experimentation
Zixi Hu
Zixi Hu
CAMERA & UC Berkeley, grad student
Development of numerical algorithms for the processing and analysis of X-ray experimental data.
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