Flash talk at the European AI for Fundamental Physics Conference
Three minutes to present an active-search approach to exploring the parameter space of BSM models — and the feedback that changed what I built next.
talkparticle physicsactive search
Postdoctoral researcher
Mauricio A. Diaz
I am a physicist working at the intersection of computational neuroscience and artificial intelligence. As a postdoctoral researcher at the Leibniz Institute for Resilience Research in Mainz, I develop neural-circuit models to investigate how stress shapes learning, adaptation and resilience.
More broadly, I am interested in how plasticity, neuromodulation and internal states regulate learning and adaptive behaviour.
Latest posts
All posts →Selected publications
All publications →Modelling chronic stress as excitation–inhibition perturbation in recurrent working-memory networks
Under revision at PLOS Computational Biology · 2026
hep-aid: A Python library for sample efficient parameter scans in beyond the Standard Model phenomenology
Preprint · 2024
Bayesian active search on parameter space: a 95 GeV spin-0 resonance in the (B−L)SSM
SciPost Physics Core 8(4), 068 · 2024
Events
All events →Upcoming
Nothing scheduled yet.
Recently attended
July 2026
Neuromatch Academy — NeuroAI
Course — Course project combining gradient-based and Hebbian learning rules in recurrent networks.
Online
May 20–22, 2026
9th Biennial Meeting of the Rhine-Main Neuroscience Network (rmn²)
Poster — Modelling chronic stress in recurrent working-memory networks.
Oberwesel, Germany
Oct 13–15, 2025
The Göttingen Cognition Forum: Curiosity & Interaction
Poster — Information-theoretic approaches to capture resilience in neural data.
Göttingen, Germany