Hi, I'm Ethan — an ML engineer completing my master's degree in computer science at Arizona State University. Under the advisement of Dr. Yu Zhang in the Cooperative Robotic Systems Lab, I research theoretical reinforcement learning for multi-agent systems.
Currently, I'm working on imitation learning for bipedal locomotion at IHMC, where I'm helping develop control systems for humanoid robots. Previously, I was at Crow Industries developing autonomous navigation systems for unmanned ground vehicles.
My professional interests lie at the intersection of artificial intelligence and robotics, focusing on humanoids and embodied learning. I'm particularly interested in developing humanoids for elderly care, revitalizing the American industrial base, and saving military lives.
Beyond Tech
Beyond AI and robotics, I spend time learning about nutrition, fitness, and how history shapes our world today. I stay balanced through basketball and hiking.
I'm passionate about growing things — from bonsai trees and hydroponics to mycology. The slow, deliberate nature of bonsai helps me counter the short attention span that's so prevalent in our digital age.
After a 15-year hiatus of thinking reading wasn't "cool," I've rediscovered books as the antidote to TikTok brain. Currently diving into sci-fi and magical realism classics — always down to trade recommendations.
Recent Posts
- Jul 2022Life is Meant to be Enjoyed, so Go Enjoy It
- May 2022Trust Me - You Can Do It
- Mar 2022Life is a Video Game
Featured Projects
Deep learning-based emergency braking system built with CARLA simulator
ROS 2 compatible Python bindings for OctoMap, enabling efficient 3D mapping and spatial perception
Benchmarking modern neural networks for single-cell RNA sequencing analysis