United Kingdom
Scientist and YouTube Creator. PBPK modelling specialist. Previously Data Scientist/ML-Engineer. PhD in Biophysics and Master's Degrees in Mathematics and Mechanistic Biology.
I build PBPK models of antivirals, in the open source software PK-Sim, to inform dosing for viral diseases such as the recent Ebola and Hantavirus (Andes virus) outbreaks by translating in-vitro potency and in-vivo exposure into clinical insights. I have used the open source pop-pk modelling tool NLMIXR2 to support treatment of COVID-19 in phase-1b clinical trials of favipiravir
I wrote and directed videos on physics and mathematics topics for Veritasium, a YouTube channel with over 20 million subscribers. My personal highlight was writing “The Equation that Beat Wall Street”. I pitched the idea to the team to make a video about the development and impact of the Nobel prize winning Black-Scholes equation. It currently has 17 million views.
My work in this role centred around uncertainty quantification and calibration of deep neural networks for computer vision tasks and large language models. This was largely a research based role for both internal capability development and contract work for defence sector customers. I also helped manage a growing academic network, with universities across northern England, and supervised postgraduate student projects.
Using a combination of numerical simulations and machine learning approaches, I created a set of tools in Python which predict important quantitative (pharmacokinetics) properties of drugs from molecular structures for toxicology decision making. Part of this work was subsequently published in a peer-reviewed scientific journal. Translated US EPA open source PBPK (HTTK) simulation code into python from R. I have engaged with external stakeholders, including clients from large pharmaceutical companies, demonstrating data science products.
Developing software for simulating the pharmacokinetics of compounds using machine learning and mathematical modelling approaches.
Experimental and computational research investigating how plants adapt and optimise photosynthesis in changing environmental conditions.