Marc Exposit Goy


Marc is interested in using genetic engineering and computational biology approaches to increase our understanding of biological systems and precisely engineer new biological functions. His previous research experience includes both molecular biology work to accelerate the development of rapid antigen tests for emerging viruses (Gehrke lab, MIT) and dry lab experience in using machine learning to predict the outcomes of CRISPR/Cas9 genome editing (GÃell lab, UPF). He also started a team to develop a gluten sensor for people with celiac disease, which was presented in the 2018 iGEM competition. He holds a B.S. in Biotechnology from University of Girona, a M.Sc. in Bioengineering from IQS School of Engineering, and a M.Sc. in Bioinformatics and Biostatistics from Open University of Catalonia.