I am a Postdoctoral Researcher supporting the OpenBind consortium, working with Prof. Charlotte Deane and Dr. Fergus Imrie. OpenBind aims to generate new large-scale experimental data on protein–ligand interactions to improve AI-driven drug discovery, and I will support the project through computational techniques and analysis. I completed my PhD at the Universidad Católica de Murcia (UCAM) in the BIO-HPC group in October 2025, where I investigated how combining different virtual screening strategies can improve the enrichment of active compounds. My background is in Biochemistry and Biotechnology, earning both my bachelor’s and master’s degrees at the University of Antwerp. I am also committed to open-source research, contributing tools and resources that support transparent and accessible computational science.

My research interests lie in computational drug discovery, with a particular focus on virtual screening, molecular docking, and molecular dynamics to understand and predict protein–ligand interactions. I work on combining physics-based and machine-learning approaches to improve the identification and prioritisation of active compounds. I am also strongly committed to open-source research, developing and contributing computational tools that support reproducible and accessible molecular modelling and AI-driven drug discovery.

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I am a first-year DPhil student in the StatML CDT program, working under the supervision of Prof. Robin Evans on diverse topics in causal inference. I completed my B.Sc. in Econometrics at Maastricht University and my M.Sc. in Statistics at ETH Zürich. Before starting my DPhil, I spent one year at Inria Montpellier (team PreMeDICaL) working with Julie Josse, Erwan Sconet & Jeffrey Näf on missing data methodology.

Causal inference, Missing data

I am a first year DPhil student, supervised by Tom Rainforth. I am also a part-time Research Scientist at the AI Security Institute (AISI) with the Science of Evaluations team.

Prior to the DPhil I was a Research Engineer at AISI, designing and conducting dangerous capability evaluations on frontier language models. I previously obtained an MSc in Artificial Intelligence from Imperial College London and an MMath from the University of St Andrews.

I am broadly interested in AI Safety and Security, and LLM evaluations. I'm currently interested in applying tools from Experimental Design and Active Testing to improve the efficiency and accuracy of LLM assessments.

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