| Oct 25, 2026 | Short course “Parameter Monitoring with Adaptive Observers” at Semana IEIC 2026. Slides, step-by-step MATLAB and Python code, Jupyter notebooks and exercises are open on GitHub. [repo] |
| Oct 25, 2026 | Invited talk at Semana IEIC 2026, Facultad de Minas, Universidad Nacional de Colombia, Medellín (26 October 2026): “Observadores adaptativos para gemelos digitales médicos: un marco para la medicina personalizada”. [poster] |
| Sep 01, 2026 | I will join the University of Dubrovnik as a postdoctoral researcher on the Conduction / InterCoML project, starting 1 November 2026. |
| Jun 16, 2026 | Gave the talk “Parameter Inference in Immune Digital Twins: A Stochastic Adaptive Filtering Approach” at Washington State University, Pullman. [slides] |
| Feb 19, 2026 | Presented “Adaptive Observers for Medical Digital Twins: A Framework for Personalized Medicine” at the University of Idaho Mathematics and Statistical Science colloquium. [slides] |
| Nov 01, 2025 | New paper in Frontiers in Applied Mathematics and Statistics: “Iterative calibration of medical digital twins via adaptive estimators”. |
| Jul 01, 2025 | Paper accepted at the 64th IEEE Conference on Decision and Control (CDC), Rio de Janeiro: “Adaptive Observers for Calibrating Immune Digital Twins in Viral Infections”. |
| Jun 08, 2025 | New paper in IEEE Control Systems Letters: “Time-Constrained MPC Approach for Switched Nonlinear Systems”. |
| Oct 10, 2024 | Gave the talk “Understanding SIR-type epidemic behaviors through set-based dynamic analysis” at the University of Idaho. [slides] |
| Sep 01, 2024 | Started as a Postdoctoral Research Fellow at the University of Idaho, SMID Lab. |
| Apr 01, 2024 | Completed my Ph.D. in Mathematical Engineering at the Universidad Nacional del Litoral, Argentina. |
| Jan 01, 2023 | Paper published in Annual Reviews in Control: “Switched NMPC for epidemiological and social-economic control objectives in SIR-type systems”. |
| Oct 01, 2022 | Paper published in Automatica: “Minimizing the epidemic final size while containing the infected peak prevalence in SIR systems”. |