An interdisciplinary researcher working at the intersection of Industrial Engineering, Operations Research, and Data Analytics. My research focuses on formulating and solving combinatorial and industrial optimization problems using mathematical programming, network optimization, and hybrid strategies that integrate heuristics and metaheuristics with exact, approximation, and stochastic methods. I collaborate internationally with research teams across transportation systems, supply chains and logistics, forestry planning, systems engineering, viticulture and enology, and biological applications — turning rigorous theoretical models into real‑world impact. Alongside optimization, I also bring over a decade of experience in data analysis and data science, including statistical modelling, machine learning, and advanced analytics. I extract actionable, interpretable insights from complex datasets and combine statistical theory with modern computational workflows to support model validation, system understanding, and strategic decision‑making. By bridging optimization and data science, I deliver robust, evidence‑based solutions that solve real problems. Adrian Hermes, PhD (also known as A. Hosseini)