I am a sixth-year PhD student working under Anastasios Matzavinos at Brown's Division of Applied Mathematics. My work is mostly in mathematical and computational modeling, especially of mesoscopic biological systems such as membranes and polymers, and in the statistical analysis of data from these models (e.g., Bayesian uncertainty quantification). I have a strong background in applied and computational probability and statistics as well as experience across a diverse collection of mathematical and physical settings such as quantum cryptography and decision theory. I also have experience writing and running high-performance code for supercomputers such as Brown's "Oscar" computing cluster and RIKEN's K Computer.

I have presented my work at multiple conferences, such as the JMM (2012) and the SMB Annual Meeting (2015), and have been an invited speaker at Brown's pattern theory and dissipative particle dynamics seminars.

On the pedagogical side, I have been a highly-rated teaching assistant for ten university-level courses, including graduate courses (Brown's APMA2610 - Recent Applications of Probability & Statistics), specialty undergraduate courses (Rochester's MTH281 - Applied Fourier Series and Boundary Value Problems), and introductory undergraduate courses taken by hundreds of students (Brown's APMA1650 - Statistical Inference I). I also spent two years on Brown's Math Resource Center staff and had the opportunity to be an instructor and group leader for the Brown-ICERM-Kobe Simulation Summer School in 2015.

In my free time, I enjoy endurance walking (formerly running, now injured), listening to music (especially electronic and metal), watching hockey, and writing simulated annealing algorithms to handily out-optimize my family at casual mobile games that they claim are not competitive in nature.

Contact: clark_bowman@brown.edu
Office: 170 Hope St., Room 216