Hiring!💼
We are hiring a postdoc to work on large language models and agents for the Global Pathogen Analysis Platform (GPAP), based at the Technical University of Denmark! Please get in touch if you are interested.
Apply here.
About Me
I am a tenure-track Assistant Professor in the Research Group for Genomic Epidemiology at the Technical University of Denmark (DTU). I also work on the Global Pathogen Analysis Platform (GPAP), which is funded by the Novo Nordisk Foundation. Within GPAP, I am a member and the project manager of GPAP AI Research
.
My research focuses on using large language models, deep learning and probabilistic methods for public health and biology. Current topics include:
- Building and benchmarking agents for bioinformatics
- Post-training large language models
- Large language model architecture design
- Genome foundation models
- Software systems for bioinformatics
- Probabilistic machine learning, such as Gaussian processes
- Epidemiology, including spatiotemporal transmission models, phylogenetics and pathogen genomics
I obtained my MSci in Mathematics from Imperial College London, including a year as an exchange student at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. I then completed my PhD at Imperial College London as part of the EPSRC Centre for Doctoral Training in Modern Statistics and Statistical Machine Learning at Imperial and Oxford, where I had the privilege of being supervised by Seth Flaxman and Yingzhen Li. During the COVID-19 pandemic, I was also a member of the Imperial College London COVID-19 Response Team. After my PhD, I spent a year (2023–2024) as a Research Scientist at Fano, working on automatic speech recognition.
News
- August 2026: I joined the Research Group for Genomic Epidemiology at the Technical University of Denmark as a tenure-track Assistant Professor.
- November 2024 – July 2026: I was an Assistant Professor in the Department of Public Health, University of Copenhagen.
- November 2023 – November 2024: I was a Research Scientist at Fano, working on automatic speech recognition.
- January 2023: I passed my PhD viva with minor corrections at Imperial College London! 🎉
- Summer 2021: I was an applied scientist intern at Amazon in Cambridge, United Kingdom, supervised by James Hensman and Xiaoyu Lu.
- Autumn 2019: I started my PhD at Imperial College London in the Modern Statistics and Statistical Machine Learning Centre for Doctoral Training (StatML).
- 2015–2019: I obtained my MSci in Mathematics from Imperial College London, including a year as an exchange student at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland.
Grants and Funding
- Danish e-Infrastructure Consortium H2-2026 Call. 10,000 GPU hours. [Link].