Aude Hofleitner is a seasoned professional with extensive experience in data science and research. Currently serving as Director at Meta since August 2013, Aude leads the GRAph Science & Statistics pillar on the Central Applied Science team, focusing on innovative solutions that facilitate scientifically rigorous decision-making and enhance business impact. Previously, Aude managed the Graph & Identity Research team at Meta and held academic positions at UC Berkeley as a Graduate Student Researcher and Instructor. Aude's research has centered on large-scale statistical modeling of urban traffic and real-time inference of mobility dynamics. Aude's academic credentials include dual Ph.D. degrees in Electrical Engineering and Computer Science from UC Berkeley, and Transportation Engineering from Université Paris-Est Marne-la-Vallée, along with a Master's degree in Applied Mathematics from École Polytechnique.
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