Our Team

Bernard A. and Frances M. Weideman Professor of Mechanical Engineering and director of the Simulation-Based Engineering Lab (SBEL). Technical lead of Project Chrono, advising Wisconsin Autonomous on high-fidelity multi-physics simulation, vehicle dynamics, and robotics research.

SAE International Fellow and Teaching Associate Professor of Mechanical Engineering directing the Phil Myers Automotive Center. Mentors Wisconsin Autonomous in automotive powertrains, safety protocols, chassis integration, and competition engineering.

Directs organizational operations, competition deliverables, and strategic initiatives across all technical subteams to advance production-grade autonomous vehicle development.

Graduate researcher overseeing vehicle platform architecture, drive-by-wire controls, and hardware-software system integration across collegiate autonomous platforms.

Graduate researcher spearheading Connected and Automated Vehicle (CAV) systems, specializing in V2X communications, cooperative perception, and automated driver assistance pipelines.

Oversees team finances, corporate sponsor logistics, and budget allocations to support vehicle development, tooling procurement, and national competition deployments.

Leads virtual simulation environments and digital twin frameworks in CARLA and Chrono, enabling rigorous software-in-the-loop and hardware-in-the-loop validation.

Architects onboard compute stacks, networking architectures, CI/CD automated test benches, and sensor telemetry systems for robust real-time vehicle deployments.

Manages camera and LiDAR sensor fusion, 3D object detection, and spatial mapping algorithms to ensure precise real-time situational awareness on track.

Designs and fabricates custom sensor enclosures, rugged chassis mounts, and vehicle thermal management solutions for extreme competition operating conditions.

Directs team branding, digital media production, website content, and community outreach campaigns celebrating student engineering milestones and corporate partnerships.

Focuses on deep learning model architectures, synthetic dataset curation, and inference optimization using PyTorch and TensorRT for real-time edge processing.

Mechanical engineering junior who focuses on the market research and product development side of Wisconsin Autonomous.