I am a Summer 2025 graduate of the University of Arizona's Graduate Interdisciplinary Program in Applied Mathematics. I use machine learning and generative artificial intelligence to enhance stochastic optimization and control, with applications in power grids and natural gas networks. My research at UA has been supervised by Dr. Michael (Misha) Chertkov.
Contact me: rlferrando at gmail dot com
[09/12/2025] I will give a talk in the Data Science and Applied Topology seminar at the CUNY Graduate Center. Thank you to Mikael Vejdemo-Johansson for the invitation.
[09/11/2025] I will give a tutorial on the Math of Generative AI, with a focus on diffusion models, for the Math Club at CUNY College of Staten Island. Thank you to Abhijit Champanerkar, Kevin O'Bryant, and Mikael Vejdemo-Johansson for the invitation.
[07/24/2025] I defended my dissertation, titled "Physics-Informed Artificial Intelligence for Multi-Scale Energy Systems." Thank you to Misha Chertkov for his advisement, and to Sunder Sethuraman, Shankar Venkataramani, Daniel Bienstock, and Yury Dvorkin for serving on the examining committee.
[05/09/2025] I gave a virtual seminar on "Application-Informed AI" to the Korkut Lab at MD Anderson Cancer Center, the University of Texas. Thanks to Anil Korkut for the invitation.
[05/02/2025] I gave a presentation on "Physics-Informed AI: Applications in Power and Natural Gas Operations" at the University of Arizona's SIAM student chapter mini-conference.Â