Peter Mørch Groth is a Machine Learning Scientist at Profluent since September 2025, previously served as an Industrial PhD Student at Novonesis and the University of Copenhagen from April 2022 to June 2025, focusing on protein representation learning for fitness landscape navigation. A visiting researcher at Harvard Medical School's Debora Marks Lab in late 2024, Peter also contributed as a Teaching Assistant in multiple courses at DTU - Technical University of Denmark between 2020 and 2021. Peter holds a Master's degree in Mathematical Modelling and Computing and a Bachelor's degree in Earth and Space Physics and Engineering from DTU, with experience as an exchange student in Mathematics and Computer Science at the University of Sydney in 2018.
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