معرفی
Daniel Kious is a Reader at the University of Bath, where he serves as Head of the Statistics and Probability Group and is affiliated with the Prob-L@B research center. His work focuses on advanced probability theory, including random walks, branching processes, and reinforcement models.
Research Interests:
- Random walks with self-interaction
- Random walks in dynamic random environments
- Branching processes and tree structures
- Reinforcement learning applications in probability
Article Trends: His recent publications emphasize trapping phenomena, reinforcement mechanisms, and phase transitions in random processes. Key themes include spatial non-local branching, once-reinforced walks, and connections to statistical physics.
Advising:
- Co-supervised PhD students: Wilfred Armfield, Pawel Rudnicki, Carlo Scali
- Postdoc supervision: Guillaume Conchon-Kerjan (EPSRC-funded), Umberto De Ambroggio (co-supervised with Matt Roberts)
Organizational Contributions: Co-organized conferences like CUWB IV: Frontiers in Statistics and Probability, CUWB II: Probability-on-sea, and the Random Walks in Bath conference. Active in the Prob-L@B research center.
Personal Interests: Brazilian Jiu Jitsu practitioner (blue belt at Gracie Barra Frome); contributed to mathematics popularization through a 2016 article for the French Committee for the Popularization of Mathematics (CIJM).
