Academic Positions
| Years | Position | Institution |
|---|---|---|
| 2025– | Assistant Professor in Data Assimilation | Imperial College London Aeronautics Department |
| 2025–27 | Eric & Wendy Schmidt AI in Science Fellow | Imperial College London I-X Institute |
| 2025–26 | CoSeC Fellow | Computational Science Centre for Research Communities UKRI STFC Scientific Computing |
| 2024–25 | Research Associate in Scientific Machine Learning UKRI projects: AI for Net zero & ExCALIBUR | Imperial College London Aeronautics Department |
Education
| Years | Degree & Institution | Notes & Achievements |
|---|---|---|
| 2020–24 | PhD in Engineering University of Cambridge | Awards Amelia Earhart Fellowship Thesis Real-time data assimilation in nonlinear dynamical systems Examiners Prof. Girolami & Prof. Parente Funding Cambridge Trust | EPSRC | Rolls Royce |
| 2018–19 | MPhil in Energy Technologies University of Cambridge | Awards Examiners’ Prize | Hawk’s Trust award Funding Barrié Foundation Fellowship |
| 2014–18 | BSc in Energy Engineering University of Vigo | Awards End-of-degree 2nd national prize |
Teaching Experience
| Years | Course | Institution | Details |
|---|---|---|---|
| 2024–25 | Data assimilation Invited lecturer | Politecnico di Torino, Italy | Aerospace engineering PhD course with ~150 students | Design and preparation of material and coding. |
| 2024 | Fundamentals of Scientific Machine Learning Teaching Assistant | Imperial College London, Department of Aeronautics | Third-year and MSc module | Preparation of material and coding. |
| 2023 | AI for Aerospace Engineering Teaching Assistant | Imperial College London Department of Aeronautics | for tutorials (fourth-year and MSc module). Preparation of material and coding. |
| 2020–22 | Thermofluid Mechanics Supervisor | University of Cambridge Pembroke College | First-year engineering module |Preparation of supervision notes and small-group supervisions. |