Most of my classes are administered on Canvas. If you are a current student, check there for class specific information including exam dates, office hours and assignment details.

My office is Deady 215M, on the mezzanine floor between the 2nd floor and top floor off the east stairwell.

If you are a previous student needing a letter of recommendation, please contact me. In my letters I try to provide an accurate assessment of your abilities as observed in class, office hours or other interactions. I generally provide information about your grade(s) and rank in courses I taught as well as comparisons to the mean student at your level. Letters for students of large classes are usually less specific in nature, and you should consider whether a short impersonal letter is sufficient for your purposes.

I have supervised a number of PhD and honors students. Hopefully the list below is complete (let me know if I forgot you, or if I have the date wrong!). If you are a former student and would like me to link to your current web page or email address, please let me know.

Current Students

  • Nathan Hunter (pre-PhD). Estimated completion 2021
  • Joe Webster (PhD). Estimated completion 2020
  • Jonathan (Nate) Wells (PhD). Estimated completion 2019
  • Vincent Mateus (Departmental Honors). Estimated completion 2019

    Completed PhD Students

  • Gavin Armstrong, Unimodal Levy Processes on Bounded Lipschitz Sets, 2018
  • Christopher Shum, Solvable Particle Models Related to the Beta-Ensemble, 2014

    Completed Honors Students

    Clark Honors College
  • Seth Temple, The Tweedie Index Parameter and Its Estimator: An Introduction with Applications to Actuarial Ratemaking, 2018
  • Graham Simon, Hawkes Processes in Finance: A Review with Simulations, 2016
  • Zach Chalmers, Integrating Rigorous Mathematics Into Lower- Division Coursework, 2015
  • Ryo Moore, Wronskians of Orthogonal Polynomials, 2014
    Departmental Honors
  • Ben Estevez, Random *-Cosquare Matrices and Self-Inverse Polynomials, 2018
  • Dong Ruh, Reflexive Polygons and Loops, 2016

    Courses Taught


  • Math 252: Calculus II, Spring 2018.
  • Math 467/567: Stochastic Processes, Winter 2018.
  • Math 307: Intro to Proof, Fall 2017.
  • Math 673: Theory of Probability, Spring 2017.
  • Math 672: Theory of Probability, Winter 2017.
  • Math 467/567: Stochastic Processes, Winter 2017.
  • Math 253: Calculus III, Summer 2016.
  • Math 467/567: Stochastic Processes, Winter 2016.
  • Math 685: Graduate Stochastic Processes, Winter 2016.
  • Math 684: Graduate Stochastic Processes, Fall 2015.
  • Math 673: Theory of Probability, Spring 2015.
  • Math 467/567: Stochastic Processes, Winter 2015.
  • Math 672: Theory of Probability, Winter 2015.
  • Math 241: Business Calculus I, Fall 2014.
  • Math 343: Intro to Statistics, Spring 2014.
  • Math 307: Intro to Proof, Winter 2014.
  • Math 467/567: Stochastic Processes, Winter 2014.
  • Math 241: Business Calculus I, Fall 2013.
  • Math 414/514: Intro to Analysis II, Winter 2013.
  • Math 607: Fourier Analysis in Number Fields, Winter 2013.
  • Math 413/513: Intro to Analysis I, Fall 2012.
  • Math 607: Analytic Number Theory, Fall 2012.
  • Math 410/510: Stochastic Processes (experimental), Spring 2012.
  • Math 673: Theory of Probability, Spring 2012.
  • Math 672: Theory of Probability, Winter 2012.
  • Math 616: Real Analysis, Fall 2011.
  • Math 315: Elementary Analysis, Spring 2011.
  • Math 461/561: Intro to Probability, Spring 2011.
  • Math 607: Random Matrix Theory, Spring 2011.
  • Math 465/565: Mathematical Statistics II, Winter 2011.
  • Math 607: Random Matrix Theory, Winter 2011.
  • Math 315: Elementary Analysis, Winter 2010.
  • Math 465/565: Mathematical Statistics II, Winter 2010.
  • Math 281: Several Variable Calculus I, Fall 2009.
  • Math 464/564: Mathematical Statistics I, Fall 2009.
    0