Statistics Seminar - Max Frank Czapanskiy - Computational approaches to studying ocean giants


Title: Computational approaches to studying ocean giants 

Speaker: Max Frank Czapanskiy (Stanford University)

Abstract:  Large-bodied animals play disproportionately important roles in their ecosystems. From the wolves and bison of Yellowstone to the lions and elephants of the Serengeti, megafauna fundamentally alter the flow of energy and nutrients between organisms and their environments, with repercussions for biodiversity and food web structure. The very largest animals of all time are the giants of modern oceans: baleen whales.  

In this talk, I will present the technological and computational advances that allow marine scientists to study the biology of airliner-sized animals in the open ocean. Modern animal-borne tracking devices contain many of the same sensors as consumer wearables, from accelerometers and gyroscopes to cameras and heart rate monitors. These devices, called bio-loggers, have revealed the extreme behaviour and physiology of the world’s largest animals. 

My research combines ecophysiology, computational biology, and software engineering. I will demonstrate how I use signal processing and machine learning to extract biologically meaningful information from large, complex bio-logger datasets. We will also discuss the engineering challenges inherent in authoring and distributing research software for emerging computational scientific disciplines.

Date/Time: Tuesday February 1, 2022, 3:30 - 4:30 

Location: Virtual 

Join Zoom Meeting

Meeting ID: 971 9900 3250
Passcode: 643951
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McMaster University - Faculty of Science | Math & Stats