## Teaching

### Princeton University Courses

#### QCB301/MOL301: Experimental Project Laboratory in Quantitative and Computational Biology (Fall 2009, 2010, 2011, 2012, 2013)

An intensive double credit course focusing on state-of-the-art experimental design and practice in quantitative biology. Emphasis is placed on functional genomics using global genome-wide measurements (e.g. microarray gene expression, sequence, phenotype) to understand physiological and evolutionary processes. Begins with a short introduction to technology and principles, followed by the design and execution of independent projects done by pairs of students in collaboration, with the continuing guidance and advice of the teaching staff

### Harvard University Courses

#### Applied Mathematics 115: Mathematical Modeling (Spring 2009)

Abstracting the essential components and mechanisms from a natural system to produce a mathematical model, which can be analyzed with a variety of formal mathematical methods, is perhaps the most important, but least understood, task in applied mathematics. This course approaches a number of problems without the prejudice of trying to apply a particular method of solution. Topics drawn from biology, economics, engineering, physical and social sciences.

#### Applied Mathematics 105b: Ordinary and Partial Differential Equations (Spring 2006, 2007)

Ordinary differential equations: power series solutions; special functions; eigenfunction expansions. Review of vector calculus. Elementary partial differential equations: separation of variables and series solutions; diffusion, wave and Laplace equations. Brief introduction to nonlinear dynamical systems and to numerical methods.