Academic Profile : Faculty
Asst Prof Jeremie Houssineau
Assistant Professor, School of Physical & Mathematical Sciences
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Jeremie received a Ph.D. in statistical signal processing from Heriot-Watt University, Edinburgh, in 2015 and was with the Department of Statistics and Applied Probability at the National University of Singapore from 2016 to 2018. He was then Assistant Professor in the Department of Statistics of the University of Warwick from 2019 to 2023, and was tenured in November 2023.
Bayesian Statistics; Representation and quantification of uncertainty; Possibility theory; Reinforcement learning
- Augmenting Statistics with a dedicated representation of epistemic uncertainty
- Robust and causal Bayesian inference with outer probability measures
Courses Taught
MH4501 Multivariate Analysis
Supervision of PhD Students
From the University of Warwick:
- Jake Thomas (2019-2024): Reinforcement learning (RL) via possibility theory
- Ting Zhu (2021-2025): Multi-agent RL – agent modelling other agents (with G. Montana)
- Sharlin Utke (2021-2025): A relational approach to multi-agent RL (with G. Montana)
- Nati Neggatu (2021-2025): Methods for off-line multi-agent deep reinforcement learning (with G. Montana)
- Felisha Tulus (2022-2026): Off-policy evaluation (with G. Montana)
- Yihui Tong (2023-2027): Developing the capability to forecast extreme Space Weather events (with R. Desai)
- Jake Thomas (2019-2024): Reinforcement learning (RL) via possibility theory
- Ting Zhu (2021-2025): Multi-agent RL – agent modelling other agents (with G. Montana)
- Sharlin Utke (2021-2025): A relational approach to multi-agent RL (with G. Montana)
- Nati Neggatu (2021-2025): Methods for off-line multi-agent deep reinforcement learning (with G. Montana)
- Felisha Tulus (2022-2026): Off-policy evaluation (with G. Montana)
- Yihui Tong (2023-2027): Developing the capability to forecast extreme Space Weather events (with R. Desai)