Ethan Villalovoz

Research

Publications

  1. 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.

  2. 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.

Teaching

  1. CS 8803 O27: Computer Graphics in the AI Era

    Graduate Assistant, Georgia Institute of Technology

    Fall 2026

  2. CPT S 315: Introduction to Data Mining

    Undergraduate Teaching Assistant, Washington State University

    Spring 2025

  3. CPT S 350: Design and Analysis of Algorithms

    Undergraduate Teaching Assistant, Washington State University

    Fall 2024

  4. CPT S 355: Programming Language Design

    Undergraduate Teaching Assistant, Washington State University

    Fall 2023

  5. CPT S 121: Program Design and Development C/C++

    Undergraduate Teaching Assistant, Washington State University

    Fall 2022