Jonas Vetterle

Following my MSc in Economics at London School of Economics and Political Science, I worked as an Economic Consultant at Frontier Economics in London, Spain and Germany for four years. I worked with the European Investment Bank, Deutsche Telekom and the London Stock Exchange. Working a lot in econometrics, I ventured out into related fields like machine learning and programming for fun. Over the years I became more and more intrigued by machine learning, and realised that if I enjoy it that much, I should probably do it full time. So I went back to school again! This time for an MSc in Machine Learning at University College London, where I left with a Distinction and a spot on the Dean’s List 2016-17. Using my newfound knowledge, I headed to AI startup Kortical and worked as a Machine Learning Engineer for three years. Here I helped build a machine learning SaaS product with a heavy focus on Natural Language Processing. Then I made the exciting jump to one of London’s leading machine learning startups, Benevolent AI, again focusing on NLP, but applying it to biomedical text. There I built cutting-edge NLP models for finding and disambiguating different biological entities like diseases and proteins. I feel very lucky at Moonfire to be able to combine my fascination with quantum computing, web3 and my love for economics and machine learning (not least because Moonfire deals with a lot of NLP data!). I hope to use this combination to illuminate underrepresented founders. We’ve got your back.