Hey there, I'm Tyler!
I'm a junior, Trustee Scholar (top 2% of USC Class of 2021), and Viterbi Fellow (top 6% of Viterbi Class of 2021) at the University of Southern California. I'm a double major in Computer Science and Applied and Computational Mathematics.
Raised in Hawaii, my favorite pastimes include training in karate (I'm a third degree black belt), going on scenic hikes, and eating Loco Mocos. I'm incredibly excited to be studying in Los Angeles, the city of dreamers and doers alike; the vibrancy of the city provides inspiration for both my creative and technological ventures.
I am passionate about tackling the toughest problems in artificial intelligence from a mathematical standpoint. My goal is to further the fields of deep learning, theoretical computer science, and data science through original, ethical research with real-world applications. Last year, I worked as a Machine Learning Intern at the Air Force Maui Optical and Supercomputing Laboratory and developed the TensorFlow Distributed Image Serving library for decoupling deep learning development and deployment. One year later, this project has 18 stars and 7 forks on GitHub.
I am currently a Machine Learning Intern at Sandia National Laboratories, where during the summer I designed a pipeline for to accelerate development of machine learning-based intrusion detection systems for cyber defense. My current focus at Sandia is researching applications of Bayesian convolutional neural networks for uncertainty quantification; we've seen stunning results and I am currently preparing a paper for submission to CVPR 2020.