Professionally, I am a machine learning researcher, currently based at Generate:Biomedicines, where I lead high-impact technical initiatives in generative models for drug design. As an expert at the intersection of machine learning and protein design for drug design, I work on bleeding-edge problems with highly interdisciplinary teams. During my doctoral work, I developed deep generative models for advanced protein design and structure prediction.
I'm lucky to have published some of the first work using generative models for protein design, and my research spanning machine learning, biology, chemistry, and more has been highly cited.
All opinions expressed here are my own.
Providing bespoke designs and implementations for physical and digital puzzle-based experiences. Specializing in the integration of AI/ML and data analytics to create intelligently-driven experiences. Most recently worked with Clue Adventures (London, UK).
As a researcher in Prof. David Jones's FRS group I developed S4PRED, a SOTA homology-free protein structure prediction method. Also led the development of 'DARK' models, iterative protein sequence transformer LLMs for designing de novo protein structures and sequences. Significantly involved in several group projects, including contributions to the 'PSIPRED' software suite, and with the publication of several articles and reviews.
PGTA ('18) and Senior PGTA ('19) for the Deepmind-led Advanced Deep Learning graduate course at UCL.
Represented all departmental PhD students in administrative and community-based meetings and engagements, organised events.
Providing machine learning and data analysis expertise and skills.
Joint organisational internship for computational and lab-based R&D of novel biotherapeutics.
Developed and applied computational techniques for synthetic biology problems as a team member ('14) and advisor ('15) in both Gold Award winning teams.
Thesis: "De Novo Protein Design using Generative Machine Learning". Supervised by Prof. David Jones FRS. Awarded the UCL Dean's Prize Scholarship for International Students. Published several peer-reviewed papers as first author. Developed novel VQ-VAEs and Transformers for protein sequence and structure design. Investigated graph-based structure diffusion models and analysed protein sequence hallucination.
Achieved Distinction. Researched deep learning-based classification of different immunological cell types.
First Class Honours. Achieved Minor Equivalent in Mathematics. Awarded the UCL Biochemical Engineering - PwC Business Plan Award.