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I am an MSc Student in Computer Science and Mathematics who recently graduated from Imperial College London. I am looking for PhD opportunities in Computer Science.

Many areas of research interest me:

• Bayesian & Probabilistic Learning in non-deterministic environments to quantify and exploit the uncertainty
• Machine & Deep Learning , specifically using model-based algorithms and generative models (VAE, GAN, Diffusion, Flow) to better exploit their latent space
• Optimization using optimization algorithms to solve performance problems in different ways

I had the chance to tackle these topics through my thesis at Imperial College London in the Adaptive & Intelligent Robotics Lab under the supervision of Dr Antoine Cully. You can find my work in this GitHub repository as well as my thesis in this PDF.

After my PhD, I will be looking to join the industry rather than stay in academia, so I am keenly interested in an industrial collaboration during this thesis.
This collaboration could take the form of condensed internship blocks, or distributed days of work each week to meet the company’s needs.

Here are some application sectors that interest me:

• Finance & Risk
• Supply Chain & Operations Management
• Neuroscience
• Control & Robotics
• (Quantum) Physics
• Video Games