My current research includes:
Learning/discovery of PDEs using GP/kernel methods with applications in planetary sciences and sismic data.
Solving Keller-Segle type equations using kernel methods.
During 2024-25 academic year, I will be the co-Lead Teaching Assistant for the Deparment of Mathematics at the University of Washington.
Education
Ph.D. in Applied Mathematics, 2022-2026 (expected) @ Department of Applied Mathematics, University of Washington.
M.Sc. in Applied and Computational Mathematics, 2021-2022 @ Department of Applied Mathematics, University of Washington.
B.Sc. in Statistics, 2017-2021 @ Department of Statistics, Universidad Nacional de Colombia.
B.Sc. in Mathematics, 2013-2017 @ Department of Mathematics, Escuela Colombiana de Ingeniería Julio Garavito.
Publications
Jalalian, Y., Osorio, J. F., Hsu, A., Hosseini, B., & Owhadi, H. (2025). Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis. arXiv preprint arXiv:2503.01036. see here and code here.
Gallego, J.A., Osorio, J. F., & González, F.A. (2022). Fast Kernel Density Estimation with Density Matrices and Random Fourier Features. see here
Agredo, Julián & Leon, Y. & Osorio, J. F. & Peña, A.. (2019). Buzano’s inequality in algebraic probability spaces. Journal of Mathematical Inequalities. 585-599. 10.7153/jmi-2019-13-38. see here
Teaching assistant
24-SP: AMATH563-Inferring Structure of Complex Systems
24-WI: AMATH582-Computational Methods for Data Analysis
23-AU: AMATH501-Vector Calculus and Complex Variables
23-SP: AMATH583-High-Performance Scientific Computing
23-WI: MSC Tutor in calculus, linear algebra and differential equations.
22-AU: MATH124-Calculus with Analytic Geometry I
Conferences/Posters/Workshops
25-WI-(C | P): Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis. LatMath 2025. IPAM/UCLA. |
24-SU-(P): Data-Efficient RKHS Methods for Learning Differential Equations: Algorithms and Error Analysis. University of Bath, UK.
24-WI-(C): Kernel methods for learning PDEs. SIAM UQ 24. Italy.
Conferences/Workshops attended
LatMath 2015. University of California in Los Angeles. Los Angeles, US.
Machine Learning in Infinite Dimensions. University of Bath. Bath, UK.
2024 SIAM Conference on Uncertainty Quantification. Trieste, Italy.
2023 SIAM Conference on Optimization. Seattle, USA.
Awards
Events organized