Teaching
Dedicated to fostering mathematical understanding through innovative pedagogy and comprehensive curriculum design across undergraduate and graduate levels.
Current Teaching
Analysis of algorithms involving computation with real numbers. Interpolation, methods for solving linear and nonlinear systems of equations, numerical integration, numerical methods for solving ordinary differential equations.
Teaching Philosophy
My teaching philosophy is rooted in making mathematics both rigorous and engaging through project-based learning, historical perspective, and interdisciplinary applications. As a teaching assistant at MIT’s Experimental Studies Group, I helped design applied problems that connected core concepts to real contexts, an initiative that contributed to my receiving the Excellence in Undergraduate Teaching award.
In my courses at Tufts, I have emphasized active learning through projects that use real data. For example, students in numerical analysis estimated implied volatility with the Black–Scholes model, while others in data analysis applied mathematical methods to challenges ranging from image recognition to public health. These experiences balance theory with practice and have consistently inspired students to explore mathematics more deeply.
I believe mathematics is best learned when students see it as both a body of knowledge and a way of thinking. By incorporating historical readings and fostering interdisciplinary projects, I aim to show how ideas evolve and how mathematics provides tools for diverse fields. My goal is to create an environment where students feel challenged, supported, and motivated to approach problems creatively and critically.