Research Portfolio
I got my PhD in materials science from Colorado School of Mines in May 2023. I studied methods to procedurally process scientific images from sources like optical microscopes, x-rays from particle accelerators, and 3D x-ray scans. I worked in a group that studied metals, and one of the bigg applications was to further understand additivae manufacturing (3D printing of metals).
My research career blossomed when I learned I could automate the processing of scientific images using Python. I've explored methods for tracking and analyzing features in image sequences, segmenting features from 3D volumes, and generating collections of 3D surfaces from voxel data. One of my recent focuses is an algorithm for merging over-segmented regions to aid in the segmentation of systems with features that vary significantly in size.
Segmentflow
A segmentation workflow package for Python.
Segmentflow is a Python packge I developed to close the gap between experimentalists and simulation engineers by enabling the creation of workflows to generate collections of 3D objects from stacks of images resulting from CT scans. Segmentflow combines wrappers for multiple useful image processing and 3D libraries in Python with an easily-customizable modular workflow structure. These 3D surface can be used for initializing physics simulations or for more performant visualizations.
Optimizing Geospatial Data for the Cloud
An illustrated zine contracted by Developement Seed.
A really cool science communications zine that takes the form of a comic! I designed the characters and worked with Kiri Carini and some other DevSeed staff to craft a story that would utilize some of the data formats found in the Cloud-Optimized Geospatial Formats Guide to provide a more accessible jumping-off point for deeper exploration.
Procedural analyses of image-based and multiscale investigations of materials
My 2023 Colorado School of Mines PhD Dissertation.
In my PhD dissertation, I explore different methods for automating the processing and analysis of image data in the efforts of extracting quantitative information from a class of data that is often assessed in a more qualitative fashion (at least as is often the case in the materials sciences). Essentially, this is a thesis about image processing!
Tracking the solidification of a metallic alloy
An image processing routine published in the scikit-image documetation.
This is an image processing routine that identifies and tracks the solidification of a metallic sample hit with a high-power laser in an additive manufacturing experiment. I performed the experiment with some other members of my PhD research center at the synchrotron facility at the Argonne National Laboratory. I presented this work in a joint talk with scikit-image core maintainer Marianne Corvellec at BIDS ImageXD 2021.
Other publications
My Google Scholar profile.
I have authored and co-authored a variety of publications since 2019, contributing image processing expertise that has allowed my colleagues and I to quantify analyses of image-based material investigations including optical microsopy, x-ray diffraction, and x-radigraphy.
