Summary
Dan Erwig is a research associate and Cambridge-trained information engineer with 11 years of hands-on experience spanning computational modelling, machine learning, statistics, and software engineering. Now embedded in Cambridge research groups, he blends rigorous academic work (PhD-level activity in eBGLab and MarioniLab) with practical data science ambitions aimed at analytics and applied research. His background includes leading large student organisations, running complex event logistics on a £40k budget, and fundraising—evidence of strong project management and stakeholder engagement beyond the lab. Industry placements from bridges engineering to government internships show an ability to translate technical analysis into clear, actionable reports and designs. Comfortable moving between code, models, and cross-functional communication, he seeks roles that leverage both quantitative depth and operational leadership. Notably, his early research into ethical implications of advanced defence technologies signals a thoughtful, multidisciplinary approach to AI and its societal impacts.
11 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng Information Engineering (ML), Master of Engineering - MEng Information Engineering (ML) at University of Cambridge
A Levels Chemistry (A*) Physics (A*) Maths (A*) Further Maths (A*) EPQ (A*) Biology AS (A), A Levels Chemistry (A*) Physics (A*) Maths (A*) Further Maths (A*) EPQ (A*) Biology AS (A) at Peter Symonds College
Spanish