We study the theory of complex and chaotic dynamical systems, with applications to fluid dynamics, statistical learning, and systems biology. We do both pencil-and-paper theory and computational work, and we like to test our models using tabletop experiments.We're always looking for postdocs, grad students, short-term interns, visitors, and anything in-between--please email me if you are interested! We're based on the fourteenth floor of UT's physics department, and are affiliated with the Oden Computational Science & Engineering Institute.

+ Gilpin NeurIPS 2020 and Gilpin NeurIPS 2021: Unsupervised learning and forecasting for time series, with a particular focus on biological data+ Independent research fellow supported by Harvard's Quantitative Biology Initiative, a joint program from the NSF and the Simons Foundation.+ Applications to dimensionality reduction in neuroscience datasets and genetics models

+ Work with educators to develop content and curriculum for online courses targeted at college-level chemistry and physics students+ Develop and maintain Python/gcloud pipeline for transcription and captioning of videos

+ Grant funding combined computational and field work, on developing computational models of migration by early marine organisms.

+ Graduate research on nonlinear dynamics and chaos in biological systems.+ Gilpin et al Nature Physics 2017, Gilpin PNAS 2018: Models and simulations of complex hydrodynamics at the microscale, with applications to living systems.+ Scientific discoveries were featured in popular media including: The New York Times, The Wall Street Journal, Newsweek, Scientific American, and the Huffington Post+ Developed mathematical models and statistical analysis for large (~10 TB) fluid dynamics datasets+ Developed custom dimensionality reduction and prediction pipelines using scikit-learn and TensorFlow+ Wrote high-performance numerical fluid dynamics simulation libraries in C+++ Awarded competitive fellowships from: National Science Foundation (GRFP), U.S. Department of Defense (NDSEG), and National Geographic Society

+ Work with educators to develop and review physics content for free online courses.+ Based on feedback from users, improve existing content on the platform.+ https://www.khanacademy.org/about/our-content-specialists

+ Developed a new microfluidic/image-processing based tool for measuring the mechanical properties of tissues+ Developed a mathematical model for individuality and variation during the stochastic growth of living organisms+ Awarded competitive research funding by the engineering school

+ Investigated information theoretic limits on sensing and communication by cells+ Mathematical models and simulation of conditional Markov chains

+ Creation and analysis of qubits in diamond nanowires+ Contributed to a nanofabrication protocol involving the use of electron beam lithography and reactive ion etching, in Harvard's underground clean room facility.+ Measured optical properties of diamond using a custom confocal microscope