About me

Hey thanks for visiting my website! I am a 2nd year doctoral candidate at Queen Mary University of London, specialising in natural language processing (NLP) for AI and drug discovery, mainly focus on early stage target discovery, including target identification and prioritisation.

I am under the guidance of Arkaitz Zubiaga on the project: “Temporal Evidence in Target Discovery: Leveraging Longitudinal Biomedical Knowledge for Novel Therapeutic Target Prioritisation,” with the ultimate goal to evaluate biomedical hypothesis generation for novel targets through retrospective validation. Additionally, I am jointly supervised by Claudia Cabrera, and Mani Mudaliar. My doctoral studies are funded by the UKRI Biotechnology and Biological Sciences Research Council (UKRI BBSRC), as a part of the AI for Drug Discovery Doctoral Training Programme (UKRI-AIDD), with an industrial partnership with Recursion Pharmaceuticals.

Last summer, I spent 3 months at Bactobio for a PhD internship, working on applying DNA language models and biological foundation models to microbial sequencing data to understand bacterial communities and build a recommendation engine for accelerating optimal microbial generation. I also worked on uncertainty quantification using Bayesian neural networks, and contributed platform work to help build the experiment-in-a-loop system. I was supervised by Neythen Treloar and Jordan Ang, and contributed to Bactobio’s mission of tackling antimicrobial resistance and advancing microbial discovery.

Please feel free to reach out to me at pui.siu[AT]qmul.ac.uk.