Genosys uses machine learning to optimise the production of biologic drugs, significantly increasing protein yields in manufacturing cell lines. By improving efficiency and reducing production costs, our model aims to help pharmaceutical companies and CDMOs address the rising costs of biologics. This innovation has the potential to make healthcare more accessible and equitable for patients worldwide.
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Founding team
Ernest Tan
Ernest is passionate about addressing healthcare challenges, particularly improving the efficiency and accessibility of biologic drug production. He previously worked at UBS and Lazard and has a interest in biotech and its financial aspects.
Tianjiong Zhang
Tianjiong holds a BSc in Psychology from UCL and has gained experience working at the UK Parliament and Goldman Sachs. As the CFO, Tianjiong plays a role in managing the financial strategy of the company, including overseeing business development and client outreach.
Taiga Clarke
Taiga recently completed a Master’s in Drug Discovery from Imperial College London, following a Bachelor’s in Biomedical Science from King’s College London. With a background in pharmacology, he is passionate about reducing the high costs and barriers to accessing medications, particularly in the UK.