Chesson Sipling
Physics
- Profile
Profile
Chesson's graduate research spans various topics, including studying cortical models of the brain, analyzing the influence of time non-locality in dynamical systems, and investigating alternative, physics-based approaches to computation. His team recently published "Collective dynamics and long-range order in thermal neuristor networks" in Nature Communications, a novel study on a category of neuromorphic devices known as "thermal neuristors". Earlier this year, he also presented twice at the American Physical Society's March Meeting, the largest physics conference in the world. Manuscripts based on the research discussed in these talks ("Memory-induced long-range order in dynamical systems" and "Memory in neural activity: long-range order without criticality") are both available now on arxiv.
Outside of work, he both leads UCSD's graduate running club, Race Condition Running, and volunteers weekly at the Young Scientist Club, a before-school club for local 2nd and 3rd graders to expose them to STEM in fun, hands-on experiments.
Outside of work, he both leads UCSD's graduate running club, Race Condition Running, and volunteers weekly at the Young Scientist Club, a before-school club for local 2nd and 3rd graders to expose them to STEM in fun, hands-on experiments.