Daniel Meyer

Daniel Meyer is an accomplished data scientist with extensive experience in applying machine learning to healthcare. Currently serving as a Senior Data Scientist at Twin Health since January 2020, Daniel focuses on reversing and preventing chronic metabolic diseases, utilizing large language models (LLMs) and developing predictive models and recommendation systems. Prior to this, Daniel worked at Proteus Digital Health, where patient behavior prediction was emphasized. Daniel's academic background includes a Ph.D. in Mechanical Engineering from the Technical University of Munich, with significant research experience involving machine learning applications in reproductive health and sports technology. Notable projects include the development of classifiers for predicting egg reproductive potential and concussion detection in mixed martial arts.