Received an EPSRC Pathway Postdoctoral Fellowship.
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Attended the 14th International Conference on Learning Representations (ICLR) in Rio de Janeiro, Brazil.
I successfully defended my DPhil thesis!
Gave a talk on Efficient and Reliable AI at ETH AI Center Fellowship Symposium.
Paper Learning Koopman Representations with Controllability Guarantees accepted by 14th International Conference on Learning Representations (ICLR).
Paper Data-Enabled Predictive Control for Nonlinear Systems Based on a Koopman Bilinear Realization accepted by 2025 IEEE 64th Conference on Decision and Control.
Gave an invited talk on Learning Dissipativity at the Co-PI Seminar, UCSD.
Attended the 7th Annual Learning for Dynamics and Control Conference at the University of Michigan, Ann Arbor.
Started a 5-month research exchange fellowship at the AI Center, ETH Zurich, supervised by Prof. Andreas Krause and funded by NCCR Automation.
Paper NLBAC: A neural ODE-based algorithm for state-wise stable and safe reinforcement learning accepted by Neurocomputing.
Paper Opt-ODENet published in Proceedings of Machine Learning Research.
Attended the 41st International Conference on Machine Learning in Vienna, Austria.
Volunteered at the 6th Annual Learning for Dynamics & Control Conference at the University of Oxford.
Paper How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective published in Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35528-35545.
Received NeurIPS Travel Grant funded by G-Research.
Paper Towards Optimal Network Depths: Control-Inspired Acceleration of Training and Inference in Neural ODEs accepted by The Symbiosis of Deep Learning and Differential Equations DLDE III, NeurIPS 2023 Workshop.
Attended The 5th Annual Learning for Dynamics and Control Conference at the University of Pennsylvania, Philadelphia, US.
Paper Learning Robust State Observers using Neural ODEs published in Proceedings of Machine Learning Research.
Joined University of Oxford with Research Studentship and Oxford-Ashton Memorial Graduate Scholarship.
Paper Optimal control of a growth/consumption model published in Optimal Control Applications and Methods.
Graduated from Imperial College London with Outstanding Achievement: Control Systems MSc & Hertha Ayrton Centenary Prize (Best Project) for best performance in the programme (ranking 1st) and project with significant original contribution to the topic area.