Fyde brings stability to the digital asset ecosystem through sustainable on-chain treasury and asset management.Skills: Solidity, Ethereum Virtual Machine, Smart Contract, Rust, RETH, Blockchain

Financial Software Developer for Bloomberg's Strategy Indices.

supervising a group of ~60 undergraduate studentsin a python-based programming course covering allaspects of computing in a scientific context

Thesis: ‘Magneto-optical effects in magnetically doped perovskite semiconductors’My research focusses on novel materials combining semiconducting and magnetic properties with low-cost and low-energy processability for sustainable high-tech applications like energy generation, lighting and telecommunication.Additional activities:- Demonstrator for 'Scientific Computing' course, teaching the use of python in a scientific environment to ~60 students- oral and written contributions at international conferences and workshops- six publications as main or co-author in peer-reviewd journalsSkills: material characterisation, simulations, modelling, data analysis, programming, teaching, scientific writing, oral/written presentations

Data science boot camp for STEM PhDs with highly competitive admission, consisting of two weeks of training in business and data science followed by a placement on an industry project. Covered topics: statistics, supervised, unsupervised and reinforcement learning, SQL, NLP, neural networks, decision trees, boosting, stakeholder and project management, business communication

Developed an interactive and no code application for automated information extraction from medical documents using natural language processing transformer models. The tool allows analysts/consultants to query large amounts of medical documents and find relevant information much faster than with manual scraping. This project was part of the Faculty Data Science Fellowship.methods/libraries: natural language processing, transformer models, BERT, BART, PEGASUS, dense passage retriever, automated text summarization, Q&A system, document mining, hugging face, haystack

Worked in an agile team on a data science consulting project for the US energy think tank ‘Electrical Power Research Institute’. We analysed data from thirty years of fatigue monitoring at nuclear power plants across the US using statistical and machine learning methods.methods/libraries: natural language processing, correlation analysis, variance inflation factor, principal component analysis, statistical aggregates, k-means clustering, trained, optimised, tested and compared machine learning models: linear and logistic regression, random forest, gradient boosted random forest, data size ~100GB, data science related libraries used: numpy, scipy, pandas, seaborn, matplotlib, scikit-learn, vaex, dask

Teaching undergraduate natural sciences and medical students in mathematics, physics, programming and supervising applied lab courses (group sizes 6 - ~30 students per course).Transferrable skills tutor for first year physics students, covering topics such as presentation skills, teamwork, time management, work life balance.