Pranav Rajesh Krishnan
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Summary #
Physics and CS student focused on machine learning for structural health monitoring, computational physics, and simulation tooling. Experience building PyTorch and Julia models, self-supervised deep learning on unlabeled field sensor data, and GPU/HPC simulation pipelines for energy and aerospace research.
Education #
University of British Columbia, Vancouver, Canada - Expected: April 2030
BSc. Combined Honours in Physics & Computer Science
Karen McKellin International Leader of Tomorrow Award (Full-Ride Scholarship)
UBC Faculty of Science International Student Scholarship for Academic Excellence
Work Experience #
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UBC Earthquake Engineering Research Facility
May 2026 - Aug 2026
ML Undergraduate Research Assistant, WLIURA - Vancouver, BC
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PARSEC (Pacific Rim Space Exploration Corporation)
Aug 2025 - Present
Simulations & Software Lead - Vancouver, BC
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UBC Orbit; UBC Rover
Aug 2025 - Present
Thermal Simulations in Structure Subteam; Reinforcement Learning Lead in Software Subteam - Vancouver, BC
Selected Projects #
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Astral: Local-LLM-Assisted TESS Exoplanet Triage
2026
Evidence-first research workflow for archival astronomy
Skills #
Languages: Python, Julia, C++, SQL
ML & Signal Processing: PyTorch, PyTorch Geometric, CNNs, GNNs, reinforcement learning, PSD/CSD analysis, Lightkurve
Scientific Computing & Simulation: NumPy, SciPy, MuJoCo, ANSYS, Simcenter 3D, GLMakie, PyVista
Systems & Research: CUDA, Slurm, Linux, Docker, Git, SQLite, experimental design, validation, technical documentation