Resume

B.S. Physics, Computer Science

GPA 3.8 / 4.0

Coursework: Machine Learning, Deep learning for Computer Vision, Deep Reinforcement Learning, Natural Language Processing, Probability, Linear Algebra, Signals and Systems, Computer Organization and Systems

Molecular Imaging Program at Stanford (MIPS)

• Engineered and optimized a Python pipeline to process and reconstruct 4D PET datasets, using vectorized operations to cut manual analysis time by 30 minutes per run.
• Implemented statistical validation workflows using bootstrap Monte Carlo resampling to quantify uncertainty in carbon flow metrics across 300+ regions of interest, improving reliability of experimental analysis.
• Presented research findings through technical presentations and research posters at Stanford Bio-X and SURP, communicating complex results to interdisciplinary teams.