Bryan Garcia

Bryan Garcia Email and Phone Number

Software Engineer @ Lawrence Livermore National Laboratory | Deep Learning Workflows @ Lawrence Livermore National Laboratory
California, United States
Bryan Garcia's Location
San Francisco Bay Area, United States, United States
About Bryan Garcia

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.

Bryan Garcia's Current Company Details
Lawrence Livermore National Laboratory

Lawrence Livermore National Laboratory

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Software Engineer @ Lawrence Livermore National Laboratory | Deep Learning Workflows
California, United States
Website:
llnl.gov
Employees:
9495
Bryan Garcia Work Experience Details
  • Lawrence Livermore National Laboratory
    Lawrence Livermore National Laboratory
    California, United States
  • Lawrence Livermore National Laboratory
    Software Engineer
    Lawrence Livermore National Laboratory Oct 2021 - Present
    Livermore, Ca, Us
    Development 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
  • Lawrence Livermore National Laboratory
    High-Energy Density Physics Graduate Student Intern
    Lawrence Livermore National Laboratory Jun 2021 - Oct 2021
    Livermore, Ca, Us
    Implemented a Python-based workflow tool for managing large-scale parameter studies of deep learning model performance used to accelerate HPC multi-physics codes.
  • Lawrence Livermore National Laboratory
    Fusion Energy Sciences Program Graduate Intern
    Lawrence Livermore National Laboratory Aug 2020 - Jun 2021
    Livermore, Ca, Us
    Physical & Life Sciences - Fusion Energy Sciences ProgramMaintainer of the INGRID computational mesh grid generator.
  • Lawrence Livermore National Laboratory
    Fusion Energy Sciences Program Undergraduate Intern
    Lawrence Livermore National Laboratory Jun 2020 - Sep 2020
    Livermore, Ca, Us
    Round 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.
  • Lawrence Livermore National Laboratory
    Suli Intern - Fusion Energy Sciences Program
    Lawrence Livermore National Laboratory Sep 2019 - Jan 2020
    Livermore, Ca, Us
    Fall 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.
  • Mission Support And Test Services, Llc
    Associate In Science
    Mission Support And Test Services, Llc Jun 2019 - Sep 2019
    North Las Vegas, Nv, Us
    Programmed 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
  • University Of California, Santa Cruz - Jack Baskin School Of Engineering
    Directed Reading Program
    University Of California, Santa Cruz - Jack Baskin School Of Engineering Sep 2018 - Jun 2019
    Santa Cruz, Ca, Us
    Fall 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.
  • University Of California, Santa Cruz
    Cal Teach Intensive Summer Intern
    University Of California, Santa Cruz Sep 2018 - Sep 2018
    Santa Cruz, Ca, Us
    As 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.
  • Fullerton College
    Supplemental Instruction (Si) Leader
    Fullerton College Jun 2016 - May 2018
    Fullerton, Ca, Us
    Courses 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

Mathematics Fortran Algorithms Cuda Matlab Mcnp Data Analysis Relational Databases Education Mpi C (Programming Language Data Structures Data Modeling Database Development Scientific Computing Sqlite Big Data Mathematical Modeling Monte Carlo Simulation C++ Collaborative Leadership Parallel Computing Sql Python Computer Science Software Development Statistics High Performance Computing Numerical Optimization Database Queries Databases

Bryan Garcia Education Details

  • University Of California, Santa Cruz
    University Of California, Santa Cruz
    Scientific Computing And Applied Mathematics
  • University Of California, Santa Cruz
    University Of California, Santa Cruz
    Mathematics
  • Fullerton College
    Fullerton College
    Computer 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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