The Memorial Union Terrace at UW-Madison, overlooking Lake Mendota. A beautiful place to sit by the water and listen to live music.

About Me

I am a Ph.D. student in the Mathematics department at the University of Wisconsin-Madison. My research is in mathematical logic - in particular, recursion theory and model theory.
Office 520 Van Vleck Hall
Office Hours T, 2:30-4pm; Th, 11-1pm
Address Department of Mathematics
University of Wisconsin
480 Lincoln Drive, Madison, WI 53706
Email (myLastName)

More to come in the following weeks!


UW-Madison (2017- ??)

MATH 741 - Abstract Algebra. Finite group theory, representation theory, rings and modules.

MATH 721 - Real Analysis. Measure theory, Lebesgue integration, differentiation, introduction to Hilbert spaces.

Penn State (2016-2017)

MATH 559 - Recursion Theory. Recursive functions, degrees of unsolvability, hyperarithmetic theory, applications to Borel combinatorics. Computational complexity. Combinatory logic and the Lambda calculus. Taught by Jan Reimann.

MATH 574 - Model Theory. Basic results, quantifier elimination, Fraisse limits of random graphs and dense linear orders, graphons, Morley’s categoricity theorem, O-minimality, forking and independence. Taught by Jan Reimann.

Slides on System F from a talk given to the Graduate Student seminar. In 2017 I graduated from the Schreyer Honors College at Penn State with a Bachelor's of Science in Mathematics and in Electrical Engineering. My undergraduate thesis can be found here: A Recursive Presentation of the Graphon Space. The thesis was advised by Jan Reimann, who I am very much indebted to for all his support.

As an undergraduate I was heavily involved with the Penn State Wind research program and the Collegiate Wind Competition, sponsored by the Department of Energy. My capstone design project was a voltage-sourced rectifier to convert the AC output of a wind turbine's generator to the DC needed for a power supply. I also served briefly as the administrative lead on the Penn State Racing Formula SAE team, which builds a Formula One racecar from scratch every year and races it against other collegiate teams at the Michigan International Speedway.
Fall 2017 - TA'ing for two sections of MATH 221, Calculus 1 for scientists and engineers.
In 2015, I spent a summer at Moody's Analytics in NYC. There, I worked for the lead in-house data scientist, Vladimir Agajanov. I supported his research by writing R and Python scripts to analyze company network data to draw conclusions about the capacity and redundancy of the network, and designing browser-based visualization tools for graph data presentations. Under his direction I studied the application of machine-learning methods to fixed-income and capital markets data for the Capital Markets Research Group. Check out my LinkedIn page for more recent updates.