Jake Gonzales

Hi! I'm a PhD student in the Department of Electrical and Computer Engineering at the University of Washington where I am advised by Prof. Lillian Ratliff and Prof. Behçet Açıkmeşe. I am a member of the Autonomous Controls Lab and also work closely with Prof. Karen Leung and the Control & Trustworthy Robotics Lab. I am fortunate to be supported by the NSF Graduate Research Fellowship and previously an Amazon PhD Fellowship.

My research lies at the intersection of control theory, machine learning, optimization, uncertainty quantification, and game theory, with a specific focus on decision-making in multi-agent systems. I am particularly interested in developing theoretical frameworks and principled algorithms that enable AI systems to reason about uncertainties, interact safely with other agents, and adapt effectively in dynamic, open-world environments.

Previously, I did my undergrad in ECE at the University of New Mexico, where I did undergrad research in the Human-Centered Systems and Control Lab and was supervised by Prof. Meeko Oishi. My research was in data-driven control and stochastic optimal control. I'm intersted in developing methods for practical applications, so I have spent time doing internships at Sandia National Labs, MIT Lincoln Labs, and Amazon Robotics.

Github     G. Scholar     LinkedIn     CV    

jakegonz [at] uw [dot] edu

news

Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation

Jake Gonzales, Max Horwitz, Eric Mazumdar, Lillian J. Ratliff
Under review
Webpage  •   PDF

Safe Probabilistic Planning in Human-Robot Interaction using Conformal Risk Control

Jake Gonzales, Kazuki Mizuta, Karen Leung*, Lillian Ratliff*
*Equal advising
International Conference on Intelligent Robots and Systems (IROS) 2025
Webpage  •   PDF

Hierarchical Decision Framework for Multi-Agent Path Finding

Jake Gonzales, Joey Sullivan, Samuel Burden, Lillian Ratliff, Daniel Calderone
In Preperation
Webpage

How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems

Oswin So, Zachary Serlin, Makai Mann, Jake Gonzales, Kwesi Rutledge, Nicholas Roy, Chuchu Fan
International Conference on Robotics and Automation (ICRA) 2024
Webpage  •   PDF

Data-Driven Stochastic Optimal Control Using Kernel Gradients

Adam J. Thorpe, Jake A. Gonzales, Meeko MK Oishi
American Control Conference, 2023
PDF

Advancing Model Credibility for Linked Multi-Physics Surrogate Models within a Coupled Digital Engineering Workflow of Nuclear Deterrence Systems

Sofie W. Schunk, Shane McMurray, Jake A. Gonzales
Model Validation and Uncertainty Quantification, Volume 3, Proceedings of the 41st IMAC, 2023
PDF

Visualization of MBSE Datasets in an Interactive 3D Game Engine

Kelsey Wilson, Ruby Ta, Jake Gonzales, Seethamble S. Mani, Casey Noll, Wesley Krueger, William Gruner, Timothy Wisley
Western States Regional Conference INCOSE, 2022

EE 406 Teaching Engineering

Spring 2024
Teaching Assistant · University of Washington

Graded homework and class projects for 45+ students and delivered a demonstration on effective presentation techniques.

ECE 238 Computer Logic Design

Spring & Fall 2022
Teaching Assistant · University of New Mexico

Led lab sessions for 50+ students per semester and delivered short lectures on course topics.

ECE 101 Intro. to Electrical Engineering

Spring & Fall 2021
Teaching Assistant · University of New Mexico

Led remote lab sessions and assisted 50+ students per semester with homework during COVID-19.

Decision-Theoretic Uncertainty Adaptation in Multi-Agent Systems: Algorithms with Provable Guarantees

May 2025
Qualifying Exam · Committee: Sam Burden (chair), Maryam Fazel, Karen Leung

Slides

Hierarchical Framework for Scalable Multi-Agent Autonomous Mobility

March 2024
Lightning Talk · ECE Research Showcase, University of Washington

Poster

Systems Engineering Leveraging a Commercial Gaming Platform

Sept. 2022
Western States Regional Conference INCOSE · Denver, CO

Fusing of Model-Based Systems Engineering and Virtual Reality

July 2022
Sandia National Labs' 4th Annual XR Conference

Research Mentor, Tesla STEM High School

Fall 2025 – Present
University of Washington

Mentoring a high school student using control theory and AI for time-series prediction in financial markets.

PhD Student Volunteer

Fall 2023, 2024, 2025
University of Washington

Provided feedback to underrepresented prospective PhD students applying to UW ECE through a graduate application support program.

DEI Advisory Committee Member

Fall 2024 – Spring 2025
University of Washington ECE

Served on the UW ECE DEI advisory committee to provide input on faculty/staff searches and advocate for initiatives promoting department inclusion.

Math Mentor, Prison Mathematics Project

2023 – 2025

Mentored an inmate rehabilitating himself through mathematics.

Research Mentor, Tesla STEM High School

Fall 2023 – Spring 2024
University of Washington

Mentored high school students using machine learning to model mercury pollution in aquatic ecosystems.

Peer Mentor

Fall 2022 – Spring 2023
UNM Student Success Center

Mentored five new undergrad engineering students from traditionally underrepresented groups.

Chess Coach

2021 – 2023

Taught chess at local K-8 schools in Albuquerque, NM to 100+ students.