ML for Nature &
Conservation Biology
As our world changes, we need to maintain visibility and insight. Working with conservationists, biologists, and citizen scientists, we can leverage machine learning tools to engage more people and gather the information necessary to make informed preservation decisions.
AI in
Film Production
The film industry is constantly pushing the boundaries of audiovisual storytelling, and deals with staggering amounts of data on a daily basis. With thoughtful design and scalable architecture, we can build sustainable infrastructure for creatives and operators at all points of the film production pipeline.
Artist-controlled
deployments
Artists and other creatives are rightfully concerned about the rise of AI in their industries and workflows. As a Machine Learning Engineer who’s also an artist myself, I’m interested in pushing the boundaries of what artists can do, without crossing our own boundaries. Let’s build something together!
Public Portfolio
Projects I’ve publicly worked on:
Neural Net Dev Tool
Neural Network Sonification
AWS S3 Utilities
Python interface for TensorBoard logs
Ontology Visualizer
Easier than MatPlotLib
Critical praxis in academia and industry
Timeline
2010-2012
After graduating high school, I followed my dream of playing music, supporting myself by working at a bicyle shop. I had the opportunity to tour with my band, which introduced me to the west coast and proved to me that touring life wasn’t for me. I attended community college on and off, being unsure of what I wanted to do.
2013-2014
Working in bike shops for years sparked my interest in figuring out how things fit together. I started taking prerequisites for engineering school. While learning electricity and magnetism in physics class, I found a knack for math and awe at the magic of electronics.
2014-2017
I transferred to Seattle University to earn a Bachelors of Science in Electrical Engineering. There, I discovered academic research and the fields of machine learning and computer vision.
2017-2020
I graduated with a Master’s in Computer Science at Rensselaer, where I applied computer vision and machine learning to aid conservation biologists in conducting photographic wildlife censusing. At RPI, I discovered a strict mathematical relationship between human effort and ideal label accuracy for computer-assisted data labeling efforts.
2020-Present
I work on applied research engineering for The Walt Disney Studios, inventing unique tools to help make your favorite movies and shows. As a Senior Machine Learning Engineer, I focus on building innovative and scalable tooling for pilot deployment at all stages of the film and episodic production & distribution pipeline
Audrey is a Senior Machine Learning Engineer who specializes in building AI-enabled tooling for film production and delivery pipelines
Contact Me
