معرفی
Robert Azencott is a Professor of Mathematics at the University of Houston and holds the title of Emeritus Professor at École Normale Supérieure in France. He specializes in interdisciplinary research at the intersection of mathematics, biosciences, and imaging. His work spans stochastic processes, data mining, and medical imaging applications such as 3D-echocardiography analysis and deformable shape matching. Azencott has contributed to probabilistic methods for bacterial genetic evolution models and financial market microstructure analysis. His research also addresses texture classification, kernel-based learning, and stochastic differential equations (SDEs) in finance and biology.
Research Interests
- Genomics & Proteomics: Sparse modeling of gene interactions, microRNA impact on cancer survival, proteomic mass spectra analysis.
- Bacterial Evolution: Stochastic models for genetic evolution with periodic selection and large deviations theory.
- Medical Imaging: 3D-echocardiography strain analysis, deformable shape dynamics via diffeomorphic matching, and ROI reconstruction in X-ray tomography.
- Probability & Statistics: SDE parameter estimation, kernel-based clustering, and applications to algorithmic trading and option pricing.
Labs & Collaborations
Azencott collaborates on projects such as digital stains for live-cell microscopy and intra-cardiac echography analysis to assess myocardium deformations. His work intersects with teams in cardiology, computational biology, and financial engineering.
