About Me

Hello! I am a Master's student in Computer Science at Stanford University, advised by Dr. Monica Lam. My research interests are in machine learning (computer vision, deep learning, and generative models) and human-computer interaction. Currently, I am building a data-driven automatic graphical user interface generator for Almond, the Stanford Open Virtual Assistant Project.

I graduated with my Bachelor's degrees in Computer Science and Computer Engineering from the University of Wyoming, where I was fortunate to work with Dr. Jeff Clune on researching visualization techniques for deep neural networks. I have also been a visiting researcher at the University of Southern California and Oakland University through the NSF REU program. I worked on modeling collaborative behavior in the decision-making processes of virtual agents at USC, and machine learning techniques for malware detection at Oakland.

Last summer, I interned with NIO's artificial intelligence team, where I worked on the trajectory prediction system in autonomous vehicles.

My full CV is available here.

Research Experience

Graduate Research Assistant

Jan 2018 - Present
Stanford University, Open Virtual Assistant Lab

ImagineNet: Detail-Preserving Neural Style Transfer
Advisor: Dr. Monica Lam
[Paper 1] [Paper 2]
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Visiting Research Assistant

May 2016 - Aug 2017
University of Southern California, Insitute for Creative Technologies

OpenMind: Data-driven Multiagent Modeling of Human Behavior
Advisor: Dr. David Pynadath, Dr. Ning Wang
[Paper]
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Research Assistant

Oct 2015 - May 2017
University of Wyoming, Evolving Artificial Intelligence Lab

Improving Our Understanding of Deep Neural Networks with Better Visualization Techniques
Advisor: Dr. Jeff Clune
[Poster]
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Autonomous KUKA Robot Greeter using Facial Recognition
Advisor: Dr. Jeff Clune
[Video]
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Visiting Research Assistant

May 2015 - Aug 2015
Oakland University, Secure and Trustworthy Cyberspace

Application of Hybrid Machine Learning to Detect and Remove Malware
Advisor: Dr. Mohamed Zohdy
[Paper] [Poster]
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Projects

Pose Trainer: Correcting Exercise Posture using Pose Estimation
Stanford CS 231a (Computer Vision, From 3D Reconstruction to Recognition)
[Pre-Print]
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AI Blue Book: Vehicle Price Prediction using Visual Features
Stanford CS 229 (Machine Learning)
[Pre-Print]
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Predictive Liability Models and Visualizations of High Dimensional Retail Employee Data
Advisor: Dr. Mike Borowczak
[Paper]
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Teleoperated Sample Retriever Rover for NASA Robo-Ops Competition
Advisor: Dr. Kevin Kilty, Dr. David Whitman, Dr. Ruben Gamboa
[Paper] [Poster] [Video]
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