Researcher in Biomedical NLP
London, UK
v.smith.20@ucl.ac.uk
Bio
Hello and welcome to my website! Thank you for visiting! I am a PhD student (submitted, 2025) on the CDT for AI Enabled Healthcare Systems at UCL. My current research is focused on extracting Pharmacokinetic Data from Scientific Literature to improve Pharmacokinetic predictions. This project has developed my skill set in Natural Language Processing (including LLMs), Machine Learning and Pharmacometrics
I am passionate about health and how machine learning and data science can be exploited to improve health outcomes. I am also committed to the safe and ethical use of machine learning. My career aspiration is to make an impact in health by building robust computational models which allow better decisions to be made, across drug development, clinical trials and in the clinic, to benefit both patients and healthcare professionals.
About Me!
In my spare time I enjoy getting active, especially in the great outdoors (you may find me cycling, bouldering, running, hiking, kickboxing or yoga-ing!), I'm a foody (you may find me trying new cuisines, cooking up a storm for friends and family, or making artisan chocolates), I love to travel (find me bicycle touring across europe) and I enjoy relaxing with a good book (as said by C.S. Lewis - “You can never get a cup of tea large enough or a book long enough to suit me.”)!
Books I Like
Non-FictionPhD Candidate, NLP for Information Extraction in Pharmacokinetics
Supervisors: Joe Standing, Frank Kloprogge, Waty Lilaonitkul
Collaborators: Palang Chotsiri & Thanaporn Wattanakul (MORU), Jose Antonio Cordero Rigol, Maria Rosa Balleste, Mario Duran Hortola, Mireia Poch Mascaró & Fanlo Escudero Olga (Blanquerna), Gill Mundin (AZ), Jan-Stefan van der Walt (Occams), Hiie Soeorg (UCL)
MRes, AI Enabled Healthcare Systems, First Class
Supervisors: Joe Standing, Frank Kloprogge, Waty Lilaonitkul, Ferran Gonzalez Hernandez
Collaborators: Palang Chotsiri & Thanaporn Wattanakul (MORU), Gill Mundin (AZ)
PGCert, Statistics for Data Science, Merit
MSci, Neuroscience, First Class
Supervisors: Francis Edwards, Dervis Salih
Project on Investigating Privacy Concerns and Mitigations in Clinical Language Models.
Mentors: Dan Schofield, Jonny Pearson
Worked on a survey regarding Identifying and Mitigating Privacy Risks Stemming from Language Models Privacy with the Safe and Ethical AI Team.
Mentors: Ali Shahin Shamsabadi
Collaborators: Adrian Weller, Carolyn Ashurst
Lead TA on the Digital Health and AI Technology course: Co-designing the module content, teaching/lecturing, developing the marking key and leading on marking coordination between TAs, supervising students to develop healthcare chatbots and full business cases.
Module Lead: Waty Lilaonitkul
Project on Pharmacokinetic Document Classification. Supported on dataset curation and NLP Classification Pipeline development.
Co-supervisors: Zhonghui Huang, Joe Standing
Project on Pharmacokinetic Drug-Drug Interaction Prediction. Supported on the technical pipeline development.
Co-supervisors: Venkatesh Pilla Reddy (AstraZeneca), Joe Standing