Loïc FALEU KEMAJOU

Applied Computer Science @ Vrije Universiteit Brussel (VUB)

Brussels, Belgium

Highly analytical individual with a dual Master’s background in Applied Computer Science and Pure Mathematics. Passionate about combining deep mathematical insight (Optimization, Complex Analysis) with modern AI development (Deep Learning, Generative AI, Probabilistic Modeling) to create scalable and scientifically rigorous solutions. Experienced in applying PyTorch, MONAI, pydicom, and nibabel to biomedical image analysis tasks.

Top roles

AI Specialist< 2 years

Back-end

Python

Language

Fluent English

English

Fluent

French

Fluent

Work experience

Since 2024

Intern: AI Forecasting & Generative Models @ Royal Meteorological Institute of Belgium

01 July 2024 - 30 September 2024

Integrated Google DeepMind's DGMR into the operational pySTEPS framework and contributed to ensemble-based probabilistic radar nowcasting.

Education experience

Since 2016

Applied Computer Science @ Vrije Universiteit Brussel (VUB)

01 September 2019 - 01 July 2025

MSc in Applied Computer Science (Distinction, 14/20) with a focus on Reinforcement Learning and Probabilistic Models.

Mathematics @ University of Buea

01 September 2019 - 01 July 2022

MSc in Mathematics with a focus on Complex Analysis and Signal Representation.

Mathematics @ University of Buea

01 September 2016 - 01 August 2020

BSc in Mathematics with strong performance (GPA: 3.57/4.0).

Loïc FALEU KEMAJOU

Top roles

Back-end

Welcome back

Welcome on board!