CV

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Summary

  • 10+ years of experience in developing highly scalable software using C++, message-passing-interface (MPI), and GPUs for diverse scientific applications:
    • Specialization in hypersonic flows during Ph.D. projects.
    • Focus on nanoelectronics while contributing to open-source software during postdoctoral work.
  • Experience in working on diverse modeling techniques, including:
    • Specialization in kinetic methods for high-temperature molecular gas transport.
    • Expertise in matrix-based algorithms for quantum transport in nanomaterials.
    • Experience in linear stability analyses of compressible flows.
  • 7+ years of experience contributing to collaborative, interdisciplinary projects.

Work Experience

  • 2022 - Present

    Berkeley, CA

    Postdoctoral Scholar
    Center for Computational Sciences and Engineering (CCSE)
    Lawrence Berkeley National Laboratory
    • Interdisciplinary collaborations through DOE-funded co-design projects.
    • Scientific, open-source software development & high-performance computing.
      • Use of MPI, GPU, modern C++ (including templates), Python for analysis, AMReX library.
      • Scaling, profiling, and performance optimization strategies for matrix-based algorithms and root-finding methods.
    • Modeling of self-consistent quantum transport in nanomaterials (Quantum-eXstatic).
      • Modeling of carbon nanotube field effect transistors (CNTFET).
      • Nonequilibrium Green's function (NEGF) method for electrons and phonons.
      • Electrostatics with embedded boundaries.
    • Modeling of electromagnetic waves in microelectronic circuits.
      • Finite difference time domain (FDTD) method.
      • S-matrix characterization of transmission lines.
  • 2014 - 2022

    Champaign, IL

    Graduate Research Assistant (Ph.D. & M.S.)
    University of Illinois Urbana-Champaign
    • Interdisciplinary collaborations through projects funded by ONR, AFOSR, NASA.
    • Scientific software development & High-performance computing.
      • Use of MPI, GPU, C++, Python & Bash.
      • Scaling, profiling, and performance optimization strategies for statistical methods.
      • Adaptive mesh refinement (AMR) of octree grids with embedded boundaries.
    • Kinetic transport in high-temperature gas dynamics.
      • Direct Simulation Monte Carlo (DSMC) method.
      • Modeling of shock-wave/boundary-layer interactions (SWBLI).
      • Multi-scale modeling of thermal protection material on spacecraft's heatshield.
    • Linear stability analyses of hypersonic flows.
      • Generalized eigenvalue problems.
      • Parallel communication-reducing algorithms for proper-orthogonal and dynamic-mode decomposition.

Education

Awards and Achievements

  • 2020 - 2022
    • Recipient, FRONTERA Leadership Resource Allocation (LRAC) award
  • 2020
    • Recipient, Aerospace Engineering Outstanding Graduate Student Fellowship
  • 2020
    • Selectee, MAVIS Future Faculty Fellows (MF3) Program
  • 2011
    • Recipient, Best Undergraduate Project award

Certifications

Select Academic Courses

  • Math, numerical modeling & analysis
    • Mathematical Methods I
    • Vector and Tensor Analysis
    • Uncertainty Quantification
    • Atomic Scale Simulations
    • Concurrent Matrix Computations
    • Numerical Solutions Applied to Heat Transfer and Fluid Mechanics
  • Physics
    • Physical Chemistry I
    • Statistical Thermodynamics
    • Molecular Gas Dynamics
    • Introduction to Plasma Physics
    • Foundation of Fluid Mechanics
    • Aerospace Propulsion
    • Advanced Gas Dynamics
    • Finite Element Analysis