About Me

I’m currently a DPhil candidate in the Department of Engineering Science at University of Oxford , as a member of the Control Engineering Group, under the supervision of Prof. Antonis Papachristodoulou and Dr. Konstantinos Gatsis.

Prior to joining the DPhil program, I obtained my master’s degree in Control Systems from Imperial College London , under the supervision of Professor Richard Vinter, and my BEng degree in Detection, Guidance and Control from Northwestern Polytechnical University.

Outside of academia, I am a violinist at Hertford College Orchestra.

Research Interests

• Neural ODEs
• Optimal Control
• Robustness & Stability

News

• [Jun. 2025] Gave an invited talk on Learning Dissipativity at the Co-PI Seminar, University of California, San Diego (UCSD).
• [Jun. 2025] Attended The 7th Annual Learning for Dynamics and Control Conference in the University of Michigan, Ann Arbor, US.
• [Mar. 2025] Started a 5-month research exchange fellowship at the AI Center, ETH Zurich, under the supervision of by Prof. Andreas Krause, funded by NCCR Automation.
• [Mar. 2025] Paper NLBAC: A neural ODE-based algorithm for state-wise stable and safe reinforcement learning accepted by Neurocomputing.
• [Feb. 2025] Paper Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and Stability published on Proceedings of Machine Learning Research.
• [Jul. 2024] Attended The Forty-first International Conference on Machine Learning at Messe Wien Exhibition Congress Center, Vienna, Austria.
• [Jul. 2024] Volunteered at 6th Annual Learning for Dynamics & Control Conference in the University of Oxford, UK.
• [May. 2024] Paper How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective published on Proceedings of the 41st International Conference on Machine Learning, PMLR 235:35528-35545.
• [Dec. 2023] Received NeurIPs Travel Grant funded by G-Research.
• [Nov. 2023] 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.
• [Jun. 2023] Attended The 5th Annual Learning for Dynamics and Control Conference in the University of Pennsylvania, Philadelphia, US.
• [Mar. 2023] Paper Learning Robust State Observers using Neural ODEs published on Proceedings of Machine Learning Research.
• [Oct. 2021] Joined University of Oxford with Research Studentship and Oxford-Ashton Memorial Graduate Scholarship.
• [Jul. 2021] Paper Optimal control of a growth/consumption model published on Journal of Optimal Control Applications and Methods.
• [Nov. 2020] 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.

Teaching

• [Trinity 2022-2023] Lab demonstrator of Lego football coursework.
• [Hilary 2022-2023] Lab demonstrator of B15 - Control Systems.

Publications [Google Scholar][ResearchGate]