News
Open to Summer 2026 Internship Opportunities in ML/AI, Data Science, or Quantitative research.
I will be giving a talk at SIAM-PNW 2025 (Seattle,US) on using kernel methods for learning and emulating PDEs.
I will be giving a talk at SIAM-PDE 2025 (Pittsburgh,US) on characterizing Jupiter’s radiation belt through PDEs using SciML kernel methods.
Current research projects
Learning stochastic PDEs in finance using kernel methods.
Learning/discovery of PDEs using GP/kernel methods with applications in planetary sciences (Jupiter’s radiation belt) and sismic data.
Scalability of kernel methods for learning systems of PDEs using distributed methods in optimization.
Solving time-dependent PDEs using kernel methods including Fokker-Planck and Keller-Segle models.
Education
Ph.D. in Applied Mathematics, 2022-2027 (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
25-AU: AMATH581-Intro to Scientific Computing
24-25: Co-Lead Teaching Assistant for the Deparment of Mathematics at the University of Washington.
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-AU-(C): Uncovering Jupiter’s Radiation Belt Through PDE Learning. SIAM-PDE 2025. Pittsburgh, United States.
25-AU-(C): Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators. SIAM-PNW 2025. University of Washington.
25-WI-(C | P): Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis. LatMath 2025. IPAM at University of California, LA. |
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
Minisymposium on Scientific Machine Learning at SIAM PNW 2025 in Seattle, United States.
Minisymposium on GPs and Kernel Methods for Scientific Machine Learning at SIAM UQ 2024 in Trieste, Italy.