About Us — Ecological Forecasting Project

The Team

Featured

Cayelan Carey

Project Co-Lead

Professor

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I strive to advance our predictive understanding of freshwaters in a changing world by developing new technologies for monitoring lakes and reservoirs, integrating data with models, and cultivating collaborative and interdisciplinary teams of scientists, managers, and other community members.

Quinn Thomas

Project Co-Lead

Associate Professor

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I am excited about developing and applying novel quantitative techniques to examine the effects of global change on the environment, with the overarching objective of forecasting terrestrial and aquatic ecosystem dynamics into the future.

Mary Lofton

Computational Limnologist

Post-doc

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I use ecological modeling and forecasting to understand and predict the future of our freshwater resources and develop ecological forecasting educational materials for undergraduate students. My goal is to enable a predictive, pre-emptive approach to water quality management, and help undergraduate students develop data science and systems-thinking skills.

Maike Holthuijzen

Environmental Data Scientist

Post-doc

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I use statistics to better understand ecological processes. I enjoy the challenge of modeling ecological phenomena and hope to further our understanding of the natural world.

Freya Olsson

Computational Limnologist

Post-doc

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I work with range of statistical and process-based models to forecast conditions in freshwater sites across the continental US and champion the aquatics EFI-NEON Forecast Challenge that uses these data.

Austin Delany

Environmental Data Scientist

Computational and Data Science Specialist

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I maintain and enhance the automated infrastructure, data pipelines, and software across all of the team’s projects.

Adrienne Breef-Pilz

Sensor Technician

Lab and Field Manager

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I create, maintain, and enhance environmental sensors used in forecasting workflows, and work closely with managers to help our data and forecasts be more effectively used by the broader community

Greg Harrison

Undergraduate Researcher

Computational Data Modeling and Analytics Major

I am applying machine learning to forecasting ecological processes at National Ecological Observatory Network sites.

Affiliated Faculty

Featured

Bobby Gramacy

Core Faculty

Professor

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I specialize in areas of real-data analysis to make modeling solutions more efficient and easier to use. I develop cutting-edge statistical software and methods that can be broadly applied across domains.

David Higdon

Core Faculty

Professor

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I am interested in Bayesian statistical modeling of environmental and physical systems, combining physical observations with computer simulation models for prediction and inference.

Leah Johnson

Core faculty

Associate Professor

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I work at the intersection of statistics, biology, and mathematics to model and forecast infectious disease, as well as dynamics in behavioral and population ecology.

Anuj Karpatne

Core Faculty

Assistant Professor

[email protected]

I strive to push the capabilities of current standards of machine learning (ML) in solving scientific and societally relevant problems by developing novel methodologies in the emerging field of scientific Knowledge-guided Machine Learning (KGML).

Lenny Smith

Core Faculty

Professor

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I aim to develop a comprehensive framework for using imperfect models to better understand and predict real dynamical systems, extract insights from model output in the context of today's scientific understanding, and improve today's best models while maintaining realistic expectations of just how much that investment will return.