Marcelo Tournier MD Mph Mb An
About Marcelo Tournier MD Mph Mb An
Marcelo Tournier is a Senior Data Scientist with a background in medicine and business analytics. He currently works at Apixio and has over a decade of experience in developing data-driven healthcare technologies.
Work at Apixio
Marcelo Tournier serves as a Senior Data Scientist at Apixio, a position he has held since 2019. In this role, he focuses on developing data-driven solutions tailored for the healthcare sector. His work involves leveraging advanced analytics and machine learning techniques to enhance healthcare outcomes. Apixio is known for utilizing data to improve patient care and streamline healthcare operations, aligning with Tournier's expertise in the field.
Education and Expertise
Marcelo Tournier earned his Doctor of Medicine (MD) degree from the Federal University of Santa Catarina, completing his studies from 1998 to 2004. He furthered his education by obtaining a Master of Science in Business Analytics from Hult International Business School in 2019. Tournier possesses expertise in various programming languages and frameworks, including TensorFlow, Spark, Scala, Python, Java, and R, which he applies in his data science work.
Background
Before his current role at Apixio, Marcelo Tournier worked as a Specialist Physician in Physical Medicine and Rehabilitation at the University of Sao Paulo Medical School from 2007 to 2009. He has also been involved with the International Association for Worksite Health Promotion as an Editor for Health Technology since 2020 and has served as an Affiliated Researcher at IGDORE since 2021. His diverse background combines medical training with data science and business analytics.
Achievements
Marcelo Tournier has over a decade of experience in technology development, focusing on applications, IoT, and machine learning models. He has contributed to the healthcare industry by advising three data science startups, where he provides insights into data-driven healthcare solutions. His work emphasizes the importance of data in improving healthcare practices and outcomes.