About

I am a computational biologist by training, with a background in computer science, and postdoctoral experience in stochastic modeling of biodiversity. In my research I develop and apply computational models and machine learning methods to multidimensional biodiversity datasets, with the goal of understanding and predicting the response of biodiversity to global change.

I am currently a Research Scientist at the California Academy of Sciences, where I am developing a Biodiversity Resilience Model in association with the Islands 2030 initiative.

From 2022-2023 I was a postdoc in the EcoEvoMatics Lab with Andy Rominger at the University of Maine. My work here revolves around continued development and application of our Rules of Life Engine (the RoLE model), which unifies ecological and evolutionary processes to better understand how biodiversity is generated and maintained. The NSF award abstract for this project is here: Award # 1927319.

From 2019-2021 I was a postdoc in the Morlon group at Institut de Biologie de l’Ecole Normale Superieure in Paris, where I developed theory and models of island biodiversity genomics. My position was associated with an EU funded (Horizon 2020) project which you may learn more about at the website: http://www.ibiogen.eu/.

I earned my PhD in 2020 at The Graduate Center of the City University of New York under the supervision of Dr Michael Hickerson (Thesis: On the Distribution of Genetic Variation in Ecological Communities).

Education & Training

• PhD in Computational Biology, 2020

  Graduate Center of the City University of New York

• Postdoctoral Researcher, 2019-2021

  IBENS | Paris, FR

• Postdoctoral Researcher, 2022-2023

  School of Biology & Ecology | University of Maine

• Research Scientist, 2023-2024

  Institute for Biodiversity Science & Sustainability | California Academy of Sciences