William Aeberhard
Sr. Data Scientist
Academia
(Alumni)
William obtained a PhD in Statistics in 2015 jointly from the University of Geneva and the University of Sydney. He then worked as a post-doctoral research fellow at Dalhousie University as part of a Canadian Statistical Sciences Institute collaborative research team. He was an Assistant Professor of Statistics at Stevens Institute of Technology in Hoboken, New Jersey, before joining the SDSC in September 2020. His research interests include robust statistics, non-parametric methods, and spatio-temporal modeling. His recent cross-disciplinary collaborations involve applications in marine biology, volcanology, and fisheries science.
Projects
ArcticNAP
In Progress
Exploring the natural aerosol baseline for improved model predictions of Arctic climate change
Energy, Climate & Environment
MACH-Flow
In Progress
Machine learning for Swiss river flow estimation
Energy, Climate & Environment
SPEEDMIND
In Progress
Improving species biodiversity analyses and citizen science feedback through machine learning
Energy, Climate & Environment
Publications
Mentioned in
Case Studies
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