Louis De Thanhoffer De Volcsey, Ph.D.
About Louis De Thanhoffer De Volcsey, Ph.D.
Louis De Thanhoffer De Volcsey, Ph.D., is a data scientist with a strong background in mathematics and data science. He has held various roles in organizations such as MindBridge, BlueDot, and the University of Toronto, contributing to interdisciplinary research and public health solutions.
Current Role at MindBridge AI
Louis De Thanhoffer De Volcsey has been employed as a Data Scientist at MindBridge since 2022. His role involves applying data science techniques to enhance the company's offerings in financial analytics. He contributes to the development of innovative solutions that leverage data to improve decision-making processes within organizations.
Previous Experience at Insight Data Science
From 2019 to 2020, Louis worked at Insight Data Science in Toronto, Ontario, Canada. He served as both a Career Coach and a Data Science Fellow. In these roles, he supported aspiring data scientists in their career development and engaged in projects that enhanced his expertise in data science methodologies.
Educational Background in Mathematics
Louis De Thanhoffer De Volcsey earned a Doctor of Philosophy (PhD) in Mathematics from UHasselt, completing his studies from 2009 to 2015. Prior to this, he obtained a Master of Science (MS) in Pure Mathematics from the University of Antwerp, where he studied from 2007 to 2009. He also holds a Bachelor of Science (BS) in Mathematics from the same institution, completed between 2004 and 2007.
Research and Academic Contributions
During his postdoctoral fellowship at the University of Toronto from 2015 to 2018, Louis engaged in interdisciplinary research that combined mathematics and data science. He also participated in a program at the Mathematical Sciences Research Institute (MSRI) in Berkeley, CA, in 2013, which enhanced his research skills and contributed to his academic development.
Experience in Outbreak Science at BlueDot
Louis worked as a Data Scientist and Prediction Specialist in Outbreak Science at BlueDot from 2021 to 2022. His role focused on developing data-driven solutions to address public health challenges, utilizing his expertise in data science to predict and analyze outbreak patterns.