I'm a PhD student at the Center for Applied Mathematics at Cornell University.
The goal of my research is to develop algorithmic education theory. Personalized educational software will one day gather data generated by the student using the software, fit the data to a mathematical model of a student, and then adjust the algorithms that drive the software so that they are tailored to the model student.
Before educational software can reach its full potential, mathematical models of students and the educational process must be developed. Also, a mathematical theory of educational algorithms must exist in order to aid in the design and analysis of personalizable versions of these algorithms. Furthermore, mathematical models must be developed to underpin new data analysis techniques for measuring the effectiveness of educational software algorithms based on the usage data for the software.
Thus the goal of my research is to develop the mathematical models and theory that will provide the tools, techniques and intuitions to make the next generation of educational software possible. Some of the methods that we have developed are general and have potential applications far beyond educational software.Work on algorithmic education theory is being done in collaboration with Steve Strogatz and Jon Kleinberg. It is funded in part by an NSF graduate research fellowship.
Before coming to graduate school I worked as a teacher at Stuyvesant High School for 4 years. At various times in my life I've pursued passions in acting, software development, entrepreneurship, travel and writing. Some links pertaining to these pursuits can be found below.