Obsessed with cutting edge technologies and adapting to stay at the forefront. Co-Founder of a Decentralized Autonomous Organization based on EVM blockchains, utilising and extending generative art tooling to deliver Web3 projects, in collaboration with artists and developers. Leading a global multidiscplinary team at 'OC Org', supporting and enabling project ideas in collaboration with Scatter. Experience as a Synthetic and Analytical Chemist at Pfizer, working in High-Throughput Screening and QA environments for novel method development and process optimization.

JavaScript · TypeScript · Python · PHP · Lua
React · Next.js · Django · React Three Fiber · Phaser.js · PlayCanvas · Defold
LC Method Development · LC/MS-QTOF Method Development · Chromatography & Quant/Qual Analysis · Computational Modelling · FTIR · X-Ray Crystallography · NMR · High Throughput Screening · Solubility · Drug Dissolution · GMP · GLP · ALCOA · SOP Writing and Review · Lean Six Sigma/5S
Pillow · NumPy · Jupyter · IPFS · PostgreSQL · MongoDB · Stable Diffusion
Co-founder & Team Lead · 2021 – present
Produces and platforms art projects in the Web3 space (NFTs, multimedia experiences), solo and with platforms including Scatter, Magic Eden, and Abstract. Full-stack development, graphic design, project management, and product design across a global team.
JavaScript · PHP · Python · Phaser.js · PlayCanvas · Defold (Lua/C++)
Full-Stack Developer · Mar 2022 – Dec 2022
Built a 'Timelines' app procuring job-search-relevant social posts outside standard rate limits, and a 'CV Writers Directory' serving scraped data dynamically via Django templates.
Python · Django · PostgreSQL · JavaScript/jQuery · HTML/CSS
Laboratory Scientist
Investigating the Impact of Crohn's Disease on the Bioaccessibility of a Lipid-Based Formulation with an In Vitro Dynamic Gastrointestinal Model, Effinger et al. (2021)
Gastrointestinal diseases and their impact on drug solubility: Crohn's disease, Effinger et al. (2020)
Digitalizing the TIM-1 Model Using Computational Approaches─Part Two: Digital TIM-1 Model in GastroPlus, Hens et al. (2023)
Error measures in quantitative structure-retention relationships studies, Taraji et al. (2017)
Structure Driven Prediction of Chromatographic Retention Times: Applications to Pharmaceutical Analysis, Szucs et al. (2021)
Member, RSc
Member and attendee of RSc meetings and industry conferences, demonstrated working knowledge and experience in application process.
BSc in Applied Chemical Sciences
Chemical transformations, chromatographic techniques, critical assessment of clinical-trial data, computational modelling, quantum computational chemistry, and advanced therapeutic agents. Thesis: whether drug-dissolution methodologies can replicate in-vivo supersaturation observations for select generic pharmaceuticals.
FdSc Chemical Sciences (First) · SIAS Level 5 Laboratory Scientist Apprenticeship
Foundation degree in Chemical Sciences alongside a Level 5 apprenticeship.
Level 3 BTEC Diploma in Applied Sciences · SIAS Level 3 Laboratory Technician Apprenticeship
Chemistry, physics, biology, statistics, and applied mathematics.