Hiring!💼
We are hiring a PhD student to work on large language models and agents for bioinformatics for 2026 fall entry! Please get in touch if you are interested.
About Me
I am an Assistant Professor at the Section of Health Data Science and AI, Department of Public Health, University of Copenhagen. I am a member of the research group led by Samir Bhatt and David Duchêne. I also work on the Global Pathogen Analysis Platform (GPAP) funded by the Novo Nordisk Foundation.
My research interests are in leveraging large language models, deep learning and probabilistic methods for public health and biological applications. Some topics I work on now:
- Building and benchmarking agents for bioinformatics
- Post-training of large language models
- Large language model architecture design
- Genome foundation models
- Software systems for bioinformatics
- Probabilistic machine learning, such as Gaussian processes
- Various topics in epidemiology such as spatiotemporal transmission models, phylogenetics and pathogen genomics.
Before joining the University of Copenhagen, I first obtained my undergraduate in Mathematics from Imperial College London, during which I was an exchange student at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland for an academic year. I then obtained my PhD from Imperial College London, as part of the EPSRC Centre of Doctoral Training in Modern Statistics and Statistical Machine Learning at Imperial and Oxford. I had the privilege of being supervised by Seth Flaxman and Yingzhen Li. I was also a member of the Imperial College London COVID-19 Response Team during the COVID-19 pandemic. After my PhD and between 2023-2024, I worked as a Research Scientist for a year at Fano, where I worked on automatic speech recognition.
News
- November 2024 - onwards: I am an Assistant Professor at 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 of Doctoral Training (StatML)
- 2015-2019: I obtained my MSci in Mathematics from Imperial College London, during which spent an entire academic year at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland as an exchange student.
Grants and Funding
- Danish e-Infrastructure Consortium H2-2026 Call. 10,000 GPU hours. [Link].