Ethan Villalovoz

Sacramento, California, United States

I'm an M.S. student in Computer Science at Georgia Tech. I'm interested in how robots can understand the physical world and the people they interact with. Previously, I built and evaluated enterprise AI agent systems at Microsoft.

You can reach me at .

Previously

Microsoft

Software Engineer Intern

2026

Washington State University

Undergraduate Research Assistant

2024–2025

CMU Robotics Institute

Summer Scholar

2024

Google

STEP Intern

2023

Oregon State University

NSF REU Fellow

2022

Selected publications

BODE-GEN Bayesian prompt optimization method diagram

An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models

Shlok Tomar, Aryan Deshwal, Ethan Villalovoz, Mattia Fazzini, Haipeng Cai, Janardhan Rao Doppa

arXiv, 2025

Uses Bayesian optimization to improve test-driven LLM code generation across HumanEval+ and multiple code models.

Threatening-to-harmless ratings for V-shape, wedge, vertical-line, and horizontal-line robot formations

Social Triangles and Aggressive Lines: Multi-Robot Formations Impact Navigation and Approach

Alexandra Bacula, Ethan Villalovoz, Deanna Flynn, Ankur Mehta, Heather Knight

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

Shows that triangular robot formations are perceived more positively and navigate more robustly than line formations.

More work