Elizabeth (Liz) A. O'Gorman, Ph.D. 🔬

Elizabeth (Liz) A. O'Gorman, Ph.D.

(she/her)

Computational Neurobiologist

About Me

Elizabeth (Liz) A. O’Gorman is a computational neurobiologist with a Ph.D. in Neurobiology and a concurrent M.S. in Electrical and Computer Engineering concentrating in Data Analytics and Machine Learning from Duke University. Her research interests include developing and using state-of-the-art computational methods to discover fundamental algorithms and computations used by the brain to produce adaptive individual and social behaviors. Methods confine and compliment scientific discoveries — to that end, her objective is to develop and use novel methods to advance science. Most recently, as a computationalist, she has developed methods for adaptive neuroscience experimentation, and as an experimentalist, she has used these methods to reinforce adaptive behaviors. Ultimately, she is interested in how environment and experience shape adaptive behaviors throughout the lifespan, in health and disease or disorder, using computational and experimental approaches.

Education

PhD in Neurobiology

2018 — 2025

Duke University

Dissertation: Flexible, Real-Time Shaping of Zebra Finch Vocal Learning. Advised by John Pearson, Ph.D.
Read Dissertation Abstract

Concurrent MS in Electrical & Computer Engineering - Data Analytics & Machine Learning

2018 — 2025

Duke University

BS with Highest Honors in Neuroscience & Behavioral Biology

2014 — 2018

Emory University

Honors Thesis: Low-Dimensional Mapping of Corticostriatal Circuitry Dynamics Underlying Pair. Advised by Gordon Berman, Ph.D.
Read Honors Thesis

AA in Arts & Sciences

2014 — 2016

Oxford College of Emory University

Interests

Adaptive Behavior Computational Methods Development for Neuroscience Data Analytics and Machine & Deep Learning Development & Plasticity Neural Circuits Underlying Behavior Neural Dynamics
📚 My Research

Use this area to speak to your mission. I’m a research scientist in the Moonshot team at DeepMind. I blog about machine learning, deep learning, and moonshots.

I apply a range of qualitative and quantitative methods to comprehensively investigate the role of science and technology in the economy.

Please reach out to collaborate 😃

Featured Publications
An example preprint / working paper featured image

An example preprint / working paper

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An example conference paper featured image

An example conference paper

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