MATHEMATICAL STATISTICS & MACHINE LEARNING
Learning, inference and complex data
From mathematical theory to reliable learning methods under uncertainty, distribution shift and adversarial behavior.
∑Research ↗Theory, methods
and statistical
guarantees.≡Publications ↗Journal
articles and
manuscripts.◇Teaching ↗Undergraduate,
graduate and executive
teaching.◎Projects & collaborations
↗Research projects and industry
challenges.⌘Academic leadership
↗Governance and scientific
activities.↗Experience ↗Degrees,
appointments and visits.
ABOUT
About my work
My research began with nonparametric statistics, inverse problems and quantum homodyne tomography. It now spans contrastive conditional-density estimation, causal and counterfactual inference, high-dimensional clustering, neural-network generalization and robust decentralized learning. My developing research on adversarial machine learning investigates attacks, defenses and guarantees. I combine mathematical theory, algorithm design, doctoral supervision, teaching and collaborations with academic and industrial partners.
