Teaching

machine learning

BIOL420/701: Machine learning in biology

An course for graduate students and advanced undergraduates in the biological sciences, introducing the principles and practice of machine learning tailored for applications in biology. Students implement classification and regression trees, neural networks, and other methods in R or Python to solve biological problems. The course builds toward a final project on a problem of the students' choice.

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CHMBE

CHMBE: Coastal-Heartland Marine Biology Exchange

A ten-week NSF-funded summer Research Experience for Undergraduates that paired hands-on marine fieldwork at Woods Hole Oceanographic Institute (year 1) or the University of Virginia or UC Santa Barbara (year 2) with statistical-ecology training at KU. Dan co-created the program and co-directed it with Tom Bell in year 1 and Max Castorani (UVA) and Kyle Emery (UCSB) in year 2.

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climate seminar

BIOL 599: Climate change and what you can do about it

A 1-credit senior seminar on the empirical case for human-caused climate change, its ecological and human impacts, and what individuals can do — within or outside their profession — to help mitigate it.

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ecology

BIOL/EVRN414: Principles of ecology

An undergraduate course covering the breadth of ecology — from population dynamics and community structure through biogeochemical cycles and ecosystem function. Co-taught with various instructors over the years.

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wsyn webinar

wsyn: wavelet methods for synchrony — an instructional webinar

An invited webinar in the ESA Statistical Ecology and Ecological Forecasting Initiative series, May 2024, given jointly with Jon Walter. It introduces the wavelet methods we use to study spatial synchrony, with worked examples and accompanying code.

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host-parasite ML

Predicting host-parasite interactions with machine learning — a KBS Friday Seminar

A talk by Reuman lab postdoc Angel Robles Fernandez in the Kansas Biological Survey Friday Seminar Series, on using machine learning to predict host-parasite interactions from different dimensions of biodiversity.

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variability-sdms

Estimating how climatic variability influences where on Earth a species is found — seminar

A talk by Reuman, given at the University of Chicago, Kansas Biological Survey, and elsewhere.

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asymmetric-relationships

The importance of asymmetric relationships — seminar

A talk by Reuman, given at the University of Oregon and elsewhere.

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