Max Horn

Max Horn is a seasoned expert in machine learning and computational biology, with a robust academic background including a Doctor of Science from ETH Zürich and a Master of Science from Heidelberg University. Experience includes a research internship at ETH Zürich applying deep learning to biological systems and a role at the Weizmann Institute focusing on Bayesian inference in microbiome data. As a PhD student in the Machine Learning and Computational Biology Group at ETH Zürich, significant contributions were made to the field. Max Horn has also held positions as an Applied Scientist at Amazon Web Services, a Senior Machine Learning Engineer at Apple, and an AI/ML Engineer at GSK, demonstrating expertise in intelligent assistants, robust machine learning, and object-centric learning across various domains. Additionally, involvement in the iGEM competition showcased skills in software development and computational framework design.