Lily Reeves
266 Linde Hall
California Institute of Technology
Pasadena, CA 91125
Email: lreeves at caltech dot edu
266 Linde Hall
California Institute of Technology
Pasadena, CA 91125
Email: lreeves at caltech dot edu
I am an NSF Postdoctoral Fellow at the California Institute of Technology sponsored by Tom Hutchcroft. I received my PhD from Cornell University under the supervision of Philippe Sosoe in 2023.
My research interests mostly lie in discrete probability, including critical and near-critical behavior of lattice models and interacting particle systems arising from fields such as physics and biology.
I am an organizer of the LA Probability Forum.
Publications and preprints:
Diffusion-limited annihilating-coalescing systems, [arXiv]
With S. Ahn, M. Junge, H. Lyu, J. Richey, and D. Sivakoff. Preprint (2023).
Arrivals are universal in coalescing ballistic annihilation, [arXiv]
With D. Cruzado Padró and M. Junge. Preprint (2022).
A stochastic combustion model with thresholds on trees, [arXiv]
With M. Junge, Z. McDonald, and J. Pulla. Journal of Statistical Physics (2023).
Non-universality in clustered ballistic annihilation, [arXiv]
With M. Junge, A. Ortiz San Miguel, and C. Rivera Sánchez. Electronic Communications in Probability (2023).
Chase-escape on the configuration model, [arXiv]
With E. Berstein, C. Hamblen, and M. Junge. Electronic Communications in Probability (2022).
Three-velocity coalescing ballistic annihilation, [arXiv]
With L. Benitez, M. Junge, H. Lyu, and M. Redman. Electronic Journal of Probability (2023).
Equivalence of polychromatic arm probabilities on the square lattice, [arXiv]
With P. Sosoe. Preprint (2020).
Modeling COVID-19 spread in small colleges, [arXiv]
With R. Bahl, N. Eikmeier, A. Fraser, M. Junge, F. Keesing, and K. Nakahata. PLOS One (2021).
An estimate for the radial chemical distance in 2d critical percolation clusters, [arXiv]
With P. Sosoe. Stochastic Process and Their Applications (2022).
Nature vs. nurture: dynamical evolution in disordered Ising ferromagnets, [arXiv]
With R. Gheissari, C. Newman, and D. Stein. Chapter in Statistical Mechanics of Classical and Disordered Systems (2019).
Teaching:
I have TAed for probability (various versions for graduate and undergraduate, math and engineering), introduction to analysis, and linear algebra (various versions for math and engineering).
I have also been involved in the NYC Discrete Math REU in 2020--2023.
Other:
Besides math, I am a classically trained pianist.
Link to my March 21, 2023 piano recital where I played works by Clara Schumann, Scriabin, and the complete Chopin Op. 28 preludes.