About us

Co-founder & CEO

Cecy has a degree in Biological Sciences from Oxford University and an MSc in ML from Imperial College London, specialising in graph-based biological modelling. At Biographica, Cecy leads strategy and business development, leveraging prior experience in drug manufacturing and supply chain at GSK as well as market access strategy consulting for gene-editing technologies.

Co-founder & CTO

Dom holds Masters degrees in Maths and Stem Cell Biology, as well as a PhD in Computational Genomics, from Cambridge. In his PhD, and later as an ML researcher at Relation Therapeutics, Dom applied graph ML to target discovery. He leads platform development at Biographica, drawing inspiration from drug discovery to design efficient target discovery methods for crop gene-editing.

Graph Machine Learning Engineer

Paride completed a PhD at King’s College London, and Postdoctoral Research Fellowship at University College London, in molecular biology and computational neuroscience. He subsequently worked as a Senior Scientist at BenevolentAI, designing ML models for target identification. At Biographica, Paride designs graph-based methods for target discovery and protein analytics.

Data Engineer

Dennis has an MSc in bioinformatics from TU Munich and 7+ years experience as a data engineer in biotech startups. At BenevolentAI, Dennis led a team integrating large bioinformatics datasets to support drug target discovery and portfolio suitability prediction. At Biographica, he draws on this experience to develop robust and scalable data infrastructure for our platform.

Principal Bioinformatician

Felix completed a PhD at Oxford in Interdisciplinary Bioscience and his Bachelors at the Technical University of Munich in Molecular Biotechnology. Before joining Biographica, he has experience working as a Research Scientist, Bioinformatician and Computational Biologist, developing automated and high-throughput protein complex prediction workflows.

Computational Biologist

Vicky completed her PhD at Cambridge in Metabolic and Cardiovascular Disease and her Masters at Imperial in Biomedical Research. Before joining Biographica, she spent three years as a Post-Doc Research Fellow, integrating multi-omics datasets and machine learning methods to study molecular mechanisms of drug toxicity for early drug discovery.