Physics Scientist with a PhD in Geophysics and undergraduate training in Physics (+astrophysics), with strong command of graduate-level physics across classical mechanics, electromagnetism, wave physics, acoustics, quantum mechanics, statistical physics, signal processing, elasticity, continuum mechanics, and seismology. Experienced in designing, solving, and evaluating complex physics problems, including national Physics Olympiad exams, with a focus on conceptual clarity and mathematical rigor. Expert in machine learning and AI, with extensive experience evaluating AI-generated scientific responses, identifying errors, and providing clear, structured feedback in collaboration with other AI experts. Brings a strong record of teaching (physics+AI+ML), peer review for top journals including Nature, and a commitment to scientific accuracy, academic precision, and clear communication in all physics content.
● The Matrix Profile in Seismology: Template Matching of Everything with Everything, JGR: Solid Earth, 2024
● Contrast Profile: A Novel Time Series Primitive for Real-World Classification, DMKD, 2022
● Scaling Time Series Motif Discovery with GPUs, ACM SoCC, 2019
Full list available on Google Scholar or website (>14 peer reviewed papers).