"I hold a PhD in Engineering Physics and have over a decade of experience teaching, mentoring, and consulting across engineering, physics, mathematics, biostatistics, and computational modeling. My students range from high school and college learners to graduate researchers and professionals preparing for exams, publications, or career transitions. I teach subjects spanning civil and mechanical engineering, fluid mechanics, numerical methods, MATLAB, Python, R, data science, and machine learning/AI, as well as advanced topics in biostatistics and causal inference for health and social sciences.

My teaching approach combines conceptual depth with applied problem-solving and professional skill-building. I begin by identifying each student’s strengths, challenges, and academic or career goals, then create a structured learning path that connects theory to real-world applications. Sessions are highly interactive — blending analytical modeling, coding, and data visualization with hands-on exercises and feedback. I emphasize how quantitative reasoning and data-driven methods apply to both technical and research careers, ensuring students develop practical, transferable skills for industry and academia.

Over the years, I’ve helped hundreds of students succeed — from passing FE/PE and graduate exams to completing capstone projects, technical portfolios, and journal-quality manuscripts. Many of my students have gone on to careers in data science, AI/ML, biostatistics, and engineering design, applying the same clarity and critical-thinking frameworks we developed together. My goal is to make advanced topics intuitive and career-relevant, helping learners not only master the material but also build confidence as future scientists, engineers, and analysts." less...