I am a Ph.D. student at University of Washington, Seattle studying mathematics. I am primarily interested in representation theory, category theory, and artifical intelligence but I am fascinated by most aspects of math and science. At the moment I am simultaneously pursuing my studies in algebra (the main focus for my degree) along with theoretical and applied computer science courses. My eventual goal is to determine the best way to blend my interests in a way that is both practical and intellectually fulfilling.
While I have enjoyed the mentoring aspect of teaching, I have found the standard educational format a rather poor compromise in many ways and am interested in ways of learning and imparting knowledge that go beyond the standard read/lecture/test paradigm.
This has, in part, fueled my interest in data science and—in particular—ways to present and analyze datasets in order to communicate phenomena and to aid in making inferences.