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Tyler G

- Research Program Mentor

PhD candidate at Princeton University


Computer Science (my focus is in Machine Learning); Psychology/Neuroscience (my focus is in cognitive computational neuroscience)


I'm currently a graduate student pursuing a PhD in Psychology/Neuroscience at Princeton University. My background is in Computer Science, with an emphasis in Machine Learning. I leverage computational tools to address problems at the intersection of Psychology, Neuroscience, and Artificial Intelligence. At Princeton, my research is supervised by Drs. Jonathan Cohen and Tom Griffiths. I focus on mathematical modeling of human learning and decision making, with special emphasis on applications for AI. Before my time at Princeton, I researched machine learning algorithm development and applications to cybersecurity at SMU, under the supervision of Drs. Michael Hahsler, Eric Larson, and Mitchell Thornton.

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

Introduction to Modern Deep Learning

In this project, you'll learn the fundamentals of the deep learning algorithms that power translation, text-to-speech, image recognition, and more. You'll apply a recent, state-of-the-art algorithm from Natural Language Processing or Computer Vision to a problem that interests you, and complete a technical whitepaper-style write-up. This will be a hands-on project that involves learning an open-source deep learning framework, such as TensorFlow, in Python.

The Psychology of Decision Making

In this project, you'll explore the growing field of decision making psychology, which focuses on the cognitive processes humans use to reason about the world. After reading papers in the field, you'll develop your own hypothesis and create a short experiment to test the hypothesis.

Maching Learning in Cybersecurity

Cybersecurity is getting transformed by machine learning. In this project, you'll conduct hands-on research into a security problem that machine learning can help address. Potential projects include: classifying network activity as typical vs dangerous; detecting fake images; and researching adversarial attacks on convolutional neural networks.

Coding skills

Python, C++, Matlab, R, HTML/CSS/Javascript, Bash

Languages I know

Chinese (Mandarin; HSK-4 equivalent)

Teaching experience

During my undergraduate studies, I co-founded the Colorado Mathematics and Computer Science Camp. The camp taught over 75 middle- and high-school students the foundations of competition-level math and CS. I have also tutored students in computer science and cybersecurity as a volunteer since high school.



Southern Methodist University
BS Bachelor of Science (2020)
Computer Science
Princeton University
PhD Doctor of Philosophy candidate

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