Eugenia Migliavacca
About Eugenia Migliavacca
Eugenia Migliavacca is a Senior Biostatistician at the National Institutes of Health, where she has worked since 2014. She holds multiple degrees, including a Master's in Statistics and Doctorates in Philosophy and Chemistry, and has extensive experience in biostatistics and bioinformatics across various institutions in Switzerland and the United Kingdom.
Current Role at National Institutes of Health
Eugenia Migliavacca serves as a Senior Biostatistician at the National Institutes of Health (NIH) in Bethesda, Maryland. She has held this position since 2014, contributing to various research initiatives and projects within the organization. Her role involves applying statistical methods to analyze data and support biomedical research.
Previous Experience in Biostatistics and Bioinformatics
Prior to her current position, Eugenia Migliavacca accumulated extensive experience in biostatistics and bioinformatics. She worked as a Biostatistician and Bioinformatician at the Swiss Institute of Bioinformatics from 2008 to 2009. Before that, she was employed at Isrec as a Bioinformatician from 2003 to 2007, and at Université De Genève as a Data Analyst and Bioinformatician from 2009 to 2010. Additionally, she worked at Unil - Université De Lausanne as a Biostatistician and Bioinformatician from 2010 to 2014.
Educational Background in Statistics and Chemistry
Eugenia Migliavacca holds a Master's degree in Statistics from Université De Neuchâtel. She also completed her Doctorate in Philosophy with a focus on Chemistry at the University of Lausanne. Furthermore, she obtained a Master's degree in Chemistry from Università Degli Studi Di Milano. Her educational background provides a strong foundation for her work in biostatistics and bioinformatics.
Early Career in Science
Eugenia Migliavacca began her career as a Scientist at GSK in Hayes, Hillingdon, United Kingdom, where she worked from 2000 to 2002. This early experience in the pharmaceutical industry contributed to her expertise in scientific research and data analysis, which she later applied in her roles in academia and research institutions.