Posts.

A summary of my qualifying exam (midterm) and status report

A deeper look at the flatbug model developed for the paper 'A General Method for Detection and Segmentation of Terrestrial Arthropods in Images'

I investigate a fun algorithm for generating mazes in an embarrasingly parallel manner

I show how you can quantify the relationships between classes (e.g. species), by analyzing the last-layer weights of a trained deep neural network classifier, and how that might inform the design of interpretable models

An exploration of the distribution and similarity in archaic segments among populations and geographical regions outside Africa

I show how the fast-growing field of deep learning can be integrated in biological research to simultaneously increase the scale and detail of data collection, while decreasing the manual workload associated with scaling biological field data collection

Presences-absence and abundance in functional analyses at biogeographic scales affects topological attributes of the functional space of woody plants in Eastern North America

Effects of sand deposition on cordgrass and native tidal flat vegetation