Luan CSM Ozelim, D.Sc.

Holds a degree in Civil Engineering and a PhD in Geotechnical Engineering from the University of Brasília (UnB), being recognized by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES) as the youngest student to obtain a doctoral degree in Brazil (22 years, 1 month, and 6 days), across all fields of study. Currently holds the position of Senior Research Collaborator at UnB, where he was granted four postdoctoral fellowships. He also conducted postdoctoral research at the Aeronautics Institute of Technology (ITA), São José dos Campos, where he held the position of Research Collaborator, and maintains an active affiliation with University College London as an Honorary Lecturer.

His current research lies in algorithmic information theory and its applications to machine learning, covering algorithmic complexity and algorithmic probability estimation on explicit reference machines, differentiable complexity measures usable inside learning systems, and the evaluation of language models against exactly computable inductive standards. Since 2024 he has worked as an Artificial Intelligence consultant at Oxford Immune Algorithmics, collaborating on algorithmic information dynamics and on AI applications in immunology and medical diagnostics.

He has worked intensively with deep learning, Transformer architectures, and the fine-tuning and large-scale evaluation of Large Language Models, including the development of automated medical diagnostic systems for clinical data analysis and interpretation. The same computational and statistical methods underpin his engineering research, in particular the modeling of geotechnical phenomena and R\&D projects on intelligent monitoring of structures and mining tailings.

He has published over seventy articles in international journals addressing Theoretical Computer Science, Pure and Applied Mathematics, Statistics, Biomedicine, Network Engineering, and Civil Engineering (Hydraulics, Geotechnics, and Geo-environmental Engineering). His studies integrate mathematical, statistical, and computational tools for modeling experimental data and complex physical phenomena. He has been working as a Civil Engineer at the Brazilian Federal Senate since 2014, accumulating over 10 years of experience in the design and management of infrastructure projects.