PhD Physicist & Former University Lecturer

Jack R.

I am a physics PhD candidate at UCLA with extensive teaching and research experience across multiple top-tier institutions. My academic journey began at Boston University, where I completed dual undergraduate degrees in Computational Neuroscience and Chemical Physics, with particular emphasis on artificial intelligence applications and physics-informed neural networks. This interdisciplinary foundation has given me a unique ability to connect abstract mathematical concepts with real-world physical phenomena, making complex topics accessible and engaging for students at all levels.
As a Lecturer at Boston University, I developed and delivered course content to undergraduate students in both large lecture settings and small discussion sections. My teaching philosophy centers on building intuition first, then layering mathematical rigor—an approach that helps students not just memorize formulas but truly understand the underlying principles. I've worked with students ranging from high school through graduate level, both in classroom environments and one-on-one tutoring sessions. My experience conducting research at Harvard Medical School, MIT, and Boston University has also equipped me to mentor students interested in research methodology and scientific problem-solving beyond standard coursework.
Currently pursuing my doctorate in accelerator physics and quantum science at UCLA, I continue to engage in both teaching and mentoring while maintaining active research. I specialize in tutoring physics, mathematics, programming (Python/MATLAB), and computational methods, adapting my approach to each student's learning style and goals. Whether you're struggling with foundational concepts or pushing toward advanced topics, I'm committed to helping you build confidence and genuine understanding in STEM subjects.