Conference/Workshop/Seminar Organizing

• Co-organizer, 2025 Nordita Winter School on “Physics of Machine Learning & Machine Learning for Physics”, Nordita, Stockholm, January 2025
• Co-organizer, New Challenges in High Dimensional Complex Dynamical Systems, Nordita, Stockholm, May 2024
• Co-organizer, Minisymposium on Deep Learning for Sequence Modeling at SIAM CSE 2023, Amsterdam, February 2023
• Co-organizer, e-Seminar on Scientific Machine Learning, remote, 2022
  

Refereeing

• Conference on Neural Information Processing Systems (NeurIPS)
• International Conference on Machine Learning (ICML)
• International Conference on Learning Representations (ICLR)
• International Conference on Artificial Intelligence and Statistics (AIStats)
• Stochastic Processes and their Applications
• Machine Learning
• Nonlinearity
• Advances in Difference Equations
• Journal of Physics A: Mathematical and Theoretical
• New Journal of Physics
• Chaos: An Interdisciplinary Journal of Nonlinear Science
• Nature Communications
• Proceedings of the Royal Society A
• Journal of the American Statistical Association
  

Teaching

• Supervisor, SF290X HT24 p1 Degree Project in Mathematical Statistics, Second Cycle (50687), Department of Mathematics, KTH Royal Institute of Technology. Autumn 2024
• Teaching assistant, Math 254 - Introduction to Ordinary Differential Equations, Department of Mathematics, University of Arizona. Spring 2017
• Project mentor, Math 485 - Mathematical Modeling, Department of Mathematics, University of Arizona. Spring 2015 and Spring 2017
• Instructor, Math 113 - Elementary Calculus, Department of Mathematics, University of Arizona. Summer 2016
• Instructor, Math 112 - College Algebra: Concepts and Applications, Department of Mathematics, University of Arizona. Fall 2013-Spring 2015
  

Notes

• Miscellaneous