Loic Faleu Kemajou

Integrated Google DeepMind's DGMR (Deep Generative Models for Radar) into the operational pySTEPS forecasting framework, enhancing forecasting reliability.

Thesis Title: Bounding the Probability of Misidentification of the Boundary Focused Thompson Sampling. Key Areas: Reinforcement Learning, Probabilistic Models, Advanced Decision-Making under Uncertainty.

Thesis Title: Fourier-Type Decomposition in the Bergman Space via Pre-Orthogonal Adaptive Fourier Decomposition (POAFD). Key Areas: Complex Analysis, Signal Representation, Rational Approximation.

Key Areas: Mathematical Analysis, Linear Algebra, Statistics and Probability, Geometry.