Member Profiles

Individuals who want to be listed as an EFI member can fill out this form where you will be asked to provide your name, photo, email, social media, and a short, 1 sentence synopsis of what you’re working on. If you have a near-term forecast project you want to have highlighted you can also create a profile for the project using the same form.

At the moment there are no formal requirements for membership, but we encourage members to be active participants in EFI working groups and discussion boards. Members should be interested in building the community of practice around near-term ecological forecasts.

Michael Dietze
Boston University

Michael is leading the Ecological Forecasting Initiative.  He leads the Near-term Ecological Forecasting Initiative and the PEcAn Project.

Peter Adler
Utah State University
Peter examines how species interactions mediate the impact of climate change on plant communities and if plant functional traits can predict population and community dynamics.
Christopher Brown

Christopher interested in developing and transitioning regional scale ecological forecasting system to operations. Interests: Theory, Methods, Knowledge Transfer

Cayelan Carey
Virginia Tech

Cayelan integrates high-frequency sensor data and ecosystem models to generate water quality forecasts that predict a suite of freshwater ecosystem services.

Elvira de Eyto
Marine Institute

Elvira is interested in understanding how LTER data can be used to build accurate models of future ecological conditions. Interests: Theory, Methods, Cyberinfrastructure, Knowledge Transfer

Andy Fox
University of Arizona
Andy studies the terrestrial carbon cycle, from leaf to global scales, and over time periods from seconds the millennium with a focus on how to improve ecological forecasts using different types of observations and data assimilation techniques.
Leah R Johnson
Virginia Tech
Leah develops statistical methods to integrate data into complex biological models, particularly applied to understanding how climate change will impact the transmission of vector-borne infections. Interests: Theory, Decision Science, Methods, Cyberinfrastructure, Education, Knowledge Transfer
Melissa Kenney
University of Maryland

Melissa's research broadly addresses how to integrate both scientific knowledge and societal values into policy decision-making under uncertainty. 

Christine Laney

Christine's primary professional interest is in making ecological data more accessible to a wide array of communities. She leads the development of NEON's data portal and works on ecological informatics projects. Interests: Cyberinfrastructure, Knowledge Transfer

Heather Lynch
Stony Brook University

Heather works on the MAPPPD project which calculates occupancy probabilities and presents graphical output which projects how penguin populations will change in the future.

Jackie Matthes
Wellesley College

Jackie is working on a project to forecast the impacts of invasive forest insects and pathogens. She also develops inclusive pedagogical resources for teaching foundational forecasting concepts and tools. Interests: Theory, Cyberinfrastructure, Education, Knowledge Transfer

Abraham Matta
Boston University
Abraham is working to build a hybrid elastic edge-cloud infrastructure to support repeatable ecological research. Interests: Cyberinfrastructure
Jason McLachlan
University of Notre Dame

Jason is using experiments, paleo observations, model prediction, and prior studies in a Bayesian assimilation framework strengthen predictive forecasting of salt marshes.

Owen Petchey
University of Zurich
Owen and his team at the University of Zurich research fundamental issues of ecological predictability mostly by experimentation with model microbial ecosystems. Interests: Theory, Methods, Cyberinfrastructure, Education
Emily Read
Emily is the Chief of Web Communications for the United States Geological Survey Water Resources Mission. She is responsible for the digital delivery of water data and information in accessible, discoverable, and interoperable formats.
Nicholas R Record
Bigelow Laboratory for Ocean Sciences

Ecosystem forecasting based on citizen and civic science. Interests: Theory, Decision Science, Methods, Cyberinfrastructure, Education, Knowledge Transfer

Eric Sokol

Eric is a Quantitative Ecologist at the National Ecological Observatory Network (NEON) and is interested in using metacommunity theory and long-term data to predict future trends in biodiversity. Interests: Theory, Methods, Cyberinfrastructure, Education

Quinn Thomas
Virginia Tech
Quinn works to predict the future of forest and freshwater ecosystems by combining observations and ecosystem models using statistical techniques.
Andrew Tredennick
University of Georgia

Andrew is developing a new approach to making population forecasts at the landscape scale using remotely-sensed time series of plant abundance.

Volodymyr Trotsiuk
ETH Zurich

Volodymyr is working on establishing a data assimilation system to link various datasets with different spatial and temporal resolutions into a format that allows for quality cross-checks and makes best use of available data at the Swiss scale. Interests: Methods, Cyberinfrastructure, Education

Giorgio Vacchiano
Università di Milano, DISAA
Giorgio's research focuses on forest response to management under climate change and natural disturbances. Interests: Decision Science, Methods, Knowledge Transfer
Jake Weltzin

Jake is the Executive Director of the USA National Phenology Network which manages phenology data from various sources and predicts when species will undergo a phenological transition at particular locations.

Ethan White
University of Florida

Ethan's forecasting projects include automated-iterative forecasting for the Portal Project, automated phenology forecasting, and research on forecasting biodiversity.

Elise Zipkin
Michigan State University

Elise works on estimating population distributions and demographics and how those processes might be altered with changing environmental and climate conditions. Interests: Theory, Methods, and Education

John Zobitz
Augsburg University
John is focused on (1) developing accessible software protocols and tools for data visualization - prior and post an ecological forecast, (2) applying mathematical and statistical methods for data assimilation and ecological forecasts, and (3) developing the first two with a keen eye for undergraduate interdisciplinary education, primarily focused through the lens of undergraduate mathematics. Interests: Methods, Education