Contact Information
Research Interests
Statistical mechanics, probability, differential equations, and applications to physics and biology.
Education
Ph.D. UC-Berkeley, 2007
Additional Campus Affiliations
Professor, Mathematics
Professor, Physics
External Links
Recent Publications
Kirkpatrick, K. L. (2026). Minding the gap between artificial and biological computing paradigms for biologically loyal AI. Frontiers in Systems Neuroscience, 19, Article 1695493. https://doi.org/10.3389/fnsys.2025.1695493
Dey, P. S., Kirkpatrick, K., & Krishnan, K. (2025). Phase Transition for Discrete Nonlinear Schrödinger Equation in Three and Higher Dimensions. Communications in Mathematical Physics, 406(10), Article 229. https://doi.org/10.1007/s00220-025-05408-0
Kirkpatrick, K. L. (2024). Fractional Non-linear Quantum Analysis, Probability, Discretization, and Limits. In P. G. Kevrekidis, & J. Cuevas-Maraver (Eds.), Fractional Dispersive Models and Applications: Recent Developments and Future Perspectives (pp. 209-233). (Nonlinear Systems and Complexity; Vol. 37). Springer. https://doi.org/10.1007/978-3-031-54978-6_7
Inafuku, D. A., Kirkpatrick, K. L., Osuagwu, O., An, Q., Brewster, D. A., & Nakib, M. Z. (2023). Channel capacity of the ribosome. Physical Review E, 108(4), Article 044404. https://doi.org/10.1103/PhysRevE.108.044404
Subramanyan, V., Kirkpatrick, K. L., Vishveshwara, S., & Vishveshwara, S. (2023). Are microtubules electron-based topological insulators? EPL, 143(4), Article 46001. https://doi.org/10.1209/0295-5075/acec94