Intro

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I am an incoming PhD student at University College of London (UCL), enrolled in the CDT in Delivering Quantum Technologies, starting in the Fall 2020. I am passionate about research in quantum computing and machine learning, particularly their theoretical aspects and how they can help each other. I have worked in a variety of topics in ML (domain adaptation, likelihood-free inference, federated learning), high-energy physics (impedance models in particle accelerators) and quantum computing (variational circuits, quantum annealing, quantum control).

I have recently graduated from a MSc with a double degree in applied mathematics and theoretical physics from ENSTA ParisTech (Saclay, France) and KTH Royal Institute of Technology (Stockholm, Sweden). I did my master’s thesis on variational quantum circuits for quantum data at the University of Toronto with Pr. Peter Wittek and spent seven months at 1QBit, working on the applications of reinforcement learning to quantum annealing.

Photo credits: profile picture by Alison Pouplin and background picture by Lukas Schlagenhauf


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