2019-on | Principal Investigator, Carnegie Staff Associate & Assistant Professor (By Courtesy) of Biology | Carnegie Institution for Science & Stanford University

2019 | Postdoc in Statistical Genetics | University of California Berkeley

2014-18 | PhD in Eco-Evolutionary Genomics | Max Planck Institute Dev. Biology

2013-14 | MSc in Quantitative Genomics | University of Edinburgh

2011-13 | Research Assistant | Biological Station of Doñana CSIC

2008-13 | Bsc in Biology | University Sevilla & Alicante

Evolutionary ecologist and geneticist Moises (Moi) Exposito-Alonso is a Staff Associate at the Carnegie Department of Plant Biology and Assistant Professor (by courtesy) of Biology at Stanford University. Moi received a B.S. in biology from the University of Seville, Spain and an MSc degree in quantitative and population genetics from the University of Edinburgh, Scotland. Then he moved on to earned his Ph.D. in 2018 in ecological genomics supervised by Detlef Weigel at the Max Planck Institute in Tübingen, Germany. After a short postdoctoral fellowship in statistical genetics at the University of California Berkeley with Rasmus Nielsen, he joined the faculty at Carnegie and Stanford in 2019.

Moi investigates whether and how plants will evolve to keep pace with climate change by conducting large-scale ecological and genome sequencing experiments. He also develops computational methods to derive fundamental principles of evolution, such as how fast natural populations acquire new mutations and how past climates shaped continental-scale biodiversity patterns. His goal is to use these “first principles” and computational approaches to forecast evolutionary outcomes of populations under climate change to anticipate potential future biodiversity losses. Moi wants to use this knowledge and new genome engineering methods to help species adapt to climate change instead of becoming extinct.