Research Interests

  • Probabilistic Machine Learning - Gaussian Processes, Bayesian Deep Learning
  • Uncertainty Quantification - Propagating uncertainty through models and decisions
  • Data-Driven Process Control - Model Predictive Control with learned models

Publications & Reports

Coming soon…


Current Research

I’m currently working on developing new algorithms for modelling and controlling Process Systems under uncertainty, with a focus on constraint satisfaction and safety guarantees.

Supervisors:

  • Dr. Antonio Del Rio Chanona
  • Prof. Benoit Chachuat

Affiliation: OptiML PSE Group, Imperial College London