Paulo Bruno
Research Scientist at Gran Sasso Science Institute
L'Aquila, Italia, Brazil
Summary
👤
SeniorPaulo Serafim is a PhD candidate in Conversational Explainable AI with 11 years of hands-on experience bridging research and applied ML across academia and industry. He has led and contributed to projects in deep reinforcement learning, computer vision, computational geometry, and sparse neural network pruning while advising students and collaborating internationally. His work spans from autonomous game agents (ViZDoom, PySC2) and neuroevolution to industrial R&D for HP and anomaly detection systems for Dell, with patents and invention disclosures reflecting practical impact. Comfortable both as a developer and researcher—“developer when awake, researcher all the time”—he combines strong C/C++ and Python engineering skills with scientific modeling in SciML/FluxML. Based in L'Aquila, Italy, he brings a rare mix of publication-grade research, mentorship experience, and product-focused engineering to explainable conversational AI.
11 years of coding experience
Github Skills (50)
simulation10
entropy10
complexity10
dynamics9
dynamical-systems9
agent-based-modeling9
sbml9
modeling9
julia9
stochastic-differential-equations8
database-design8
dde8
differential-equations8
gymnasium8
ode8
Programming languages (6)
Github contributions (5)
paulobruno/RLStudyNotes
Sep 2019 - Jun 2022
Contributions:197 pushes, 7 branches in 2 years 9 months
worlddynamics/WorldDynamics.jl
Apr 2022 - Nov 2022
An open-source framework written in Julia for global integrated assessment models.
Contributions:35 reviews, 335 commits, 63 PRs in 7 months
entropyworld3complexityintegratedagent-based-modeling
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