Bryan Garcia Email and Phone Number
As a Software Developer at Lawrence Livermore National Laboratory, our team uses deep learning to enhance high-performance computing for fusion energy simulations. Our efforts in developing neural network surrogate models result in more efficient Inertial Confinement Fusion simulations, aligning with our dedication to energy solutions and national security needs.My educational achievements include a Master of Science in Scientific Computing and Applied Mathematics from the University of California, Santa Cruz. In addition to my current deep learning work, I was the lead developer of the INGRID mesh generator code for advancing fusion boundary-plasma modeling.
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Lawrence Livermore National LaboratoryCalifornia, United States -
Software EngineerLawrence Livermore National Laboratory Oct 2021 - PresentLivermore, Ca, UsDevelopment focused on deep learning workflows for accelerating traditional high performance computing simulation codes by leveraging neural network as surrogate models for costly Inertial Confinement Fusion calculations -
High-Energy Density Physics Graduate Student InternLawrence Livermore National Laboratory Jun 2021 - Oct 2021Livermore, Ca, UsImplemented a Python-based workflow tool for managing large-scale parameter studies of deep learning model performance used to accelerate HPC multi-physics codes. -
Fusion Energy Sciences Program Graduate InternLawrence Livermore National Laboratory Aug 2020 - Jun 2021Livermore, Ca, UsPhysical & Life Sciences - Fusion Energy Sciences ProgramMaintainer of the INGRID computational mesh grid generator. -
Fusion Energy Sciences Program Undergraduate InternLawrence Livermore National Laboratory Jun 2020 - Sep 2020Livermore, Ca, UsRound 2 with the Physical and Life Sciences Division at Lawrence Livermore National Laboratory.This summer I am continuing development on INGRID: a Python based grid generator for enabling simulation of advanced edge plasma simulations.Summer 2020 outcomes:- Deployment of INGRID.- Redesign of INGRID workflow for configuration file oriented experience.- Added full support for advanced "snowflake" configurations.- Improved topology identification algorithm via numerical optimization methods drastically reducing computation time.- Incorporated "cell shearing" correction capability for all configurations.- UI edits and figure design improvements. -
Suli Intern - Fusion Energy Sciences ProgramLawrence Livermore National Laboratory Sep 2019 - Jan 2020Livermore, Ca, UsFall 2019 outcomes:- Developed an interactive computational grid generator for 2D time-dependent fluid simulation code of plasma and neutrals in magnetic fusion devices (dubbed INGRID). - INGRID "version 1.0" and "version 2.0" works with LLNL simulation code UEDGE and allows for simple creation of "single-null" and "unbalanced double-null" grids.-- Utilized Python for all scientific computing applications, file I/O and scripting, data visualization, GUI development.-- Core libraries utilized: NumPy, SciPy, Matplotlib, tkinter. -
Associate In ScienceMission Support And Test Services, Llc Jun 2019 - Sep 2019North Las Vegas, Nv, UsProgrammed MCNP simulations for neutron time-of-flight analysis on Dense Plasma Focus (DPF) machines for diagnosis of neutron/x-ray scattering and interaction effects at an LLNL DPF facility -
Directed Reading ProgramUniversity Of California, Santa Cruz - Jack Baskin School Of Engineering Sep 2018 - Jun 2019Santa Cruz, Ca, UsFall 2018: Completed a quarter long research project implementing a technique for calculating Lyapunov spectra for n-dimensional systems and from time-series data. Talks are expected to be held on the topic of choice here at UCSC by the end of the quarter.Winter 2019:Continuing from Fall 2018, I decided to pursue a research project on methods of computing Lyapunov exponents on Stiefel manifolds. This was in an effort to investigate more efficient methods of acquiring said values.About:UCSC's Directed Reading Program pairs experienced graduate students with motivated undergraduates to meet weekly and discuss a topic of their choice. This is a valuable opportunity for undergraduate students to learn material not offered in classes, and for graduate students to contribute their expertise and gain experience in outreach and mentoring. -
Cal Teach Intensive Summer InternUniversity Of California, Santa Cruz Sep 2018 - Sep 2018Santa Cruz, Ca, UsAs a UCSC Cal Teach Summer Intensive Intern, I spent a week under the supervision of mathematics teacher Mr. Emmanuel Olveras-Garcia at Alisal High School. The Cal Teach program works closely with Alisal High School since it is classified as a rural area with urban city issues. This helps expose summer intensive interns to the challenges that STEM educators face in these low-income areas.By being able to work with students in all all periods of the school day, I was able to put my past skillset as a college level SI Leader to use in a completely new audience. By the end of the week long intensive internship, I had been able to teach my own class lessons solo, I worked with a classroom of entirely non-english speaking students, and strengthened my communication skillset as a STEM educator. -
Supplemental Instruction (Si) LeaderFullerton College Jun 2016 - May 2018Fullerton, Ca, UsCourses Led:Calculus II (Spring 2018)Calculus I (Fall 2017)College Algebra (Spring 2017 - Fall 2017)Integrated Algebra (Fall 2017)Intermediate Algebra (Fall 2016 - Fall 2018)Beginning Algebra (Fall 2016)Supplemental Instruction is based entirely around collaborative learning to better students not only academically in a specific class, but also holistically so that they may continue to thrive in college. Each SI session I coordinate consists of an Opener, Collaborative Learning Activity, and Closer. All of which are all oriented around the material presented in lecture by the professors I work closely with.Attending said lectures are included in my responsibilities to help build rapport and trust among the students in order to foster an inviting environment where students feel safe to ask questions, learn material, and develop as students.
Bryan Garcia Skills
Bryan Garcia Education Details
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University Of California, Santa CruzScientific Computing And Applied Mathematics -
University Of California, Santa CruzMathematics -
Fullerton CollegeComputer Science
Frequently Asked Questions about Bryan Garcia
What company does Bryan Garcia work for?
Bryan Garcia works for Lawrence Livermore National Laboratory
What is Bryan Garcia's role at the current company?
Bryan Garcia's current role is Software Engineer @ Lawrence Livermore National Laboratory | Deep Learning Workflows.
What schools did Bryan Garcia attend?
Bryan Garcia attended University Of California, Santa Cruz, University Of California, Santa Cruz, Fullerton College.
What skills is Bryan Garcia known for?
Bryan Garcia has skills like Mathematics, Fortran, Algorithms, Cuda, Matlab, Mcnp, Data Analysis, Relational Databases, Education, Mpi, C (Programming Language, Data Structures.
Who are Bryan Garcia's colleagues?
Bryan Garcia's colleagues are Ian Mcgovern, Phd, Micah Marsh, Stacie Manuel, Tanya Reshel, Mike Malfatti, Dan Knight, Yang Yang.
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