About me
I am a third-year PhD candidate at Imperial College London, expected to graduate in 2024. Currently, I am a part of Dr. Antonio del Rio Chanona’s Optimisation and Machine Learning for Process Engineering (OptimalPSE) group, co-supervised by Prof. Nilay Shah.
Research interests
My work is situated at the intersection of optimization and Machine Learning applied to process systems. I am investigating how data-driven techniques can be used to aid in the solution of integrated manufacturing systems and supply chains. By working in close collaboration with industry, I ensure that my case studies are industrially relevant and that my algorithms respect the organizational and business considerations of the process industries.
- Data-driven optimization ; Derivative-free optimization ; Black-box optimization ; CUATRO
- Data-driven/Derivative-free optimization for coordination or bi-level problems in enterprise-wide optimization
- Optimization with embedded (Machine Learning) surrogates
- Reduced-order optimization
- (Multi-Agent) Reinforcement Learning
Education
| Year | Institution | Degree |
|---|---|---|
| 2020- 2024 | Imperial College London | PhD |
| 2018-2019 | Columbia University | Exchange |
| 2016-2020 | Imperial College London | MEng |
Industrial experience
| Year | Company | Position | Description |
|---|---|---|---|
| 2019 | ExxonMobil | Intern | Strategic Planning |
| 2018 | BASF | Intern | Innovation Management |