CV

Education

Ph.D. in Mechanical Engineering, The University of Texas at Austin, 2023 - Present
- Focus: Dynamic Systems and Control
- GPA: 3.96/4.0
M.S. in Mechanical Engineering, The University of Texas at Austin, 2023 - 2025
- Thesis: “Curriculum-Based Soft Actor-Critic for Multi-Section Roll-to-Roll Tension Control”
- Advisor: Dr. Dongmei Chen Committee: Dr. Wei Li
B.S. in Mechanical Engineering, Pennsylvania State University, 2019 - 2023
- GPA: 3.67/4.0 Major GPA: 3.86/4.0

Graduate Research Assistant (Jan 2024 - Present)
- University of Texas at Austin - Advanced Power Systems and Controls Lab
- Vision-Language-Action Models: Investigating methods to improve robustness of VLA models for robot manip ulation under environmental perturbations. Configured and validated MimicDroid-RoboCasa simulation environment on multi-GPU server (8× RTX A6000). Conducting literature review on action chunking policies, visual servoing, and active vision for visuomotor control
- LLM Multi-Agent Systems: Developed S2C framework for certified H∞ controller synthesis with 100% success on COMPleib benchmarks
- Deep Reinforcement Learning: Designed curriculum-based SAC achieving 80.2% lower tracking error than LQR baseline
- Distributionally Robust Control: Developed MDR-DeePC combining physics-based models with data-driven prediction
Undergraduate Research Assistant (Oct 2021 - Apr 2022)
- University of California, Los Angeles - Fluid Mechanics of Renewable Energy
- Supervisor: Dr. Nasr Ghoniem
- Conducted literature review and analysis of multi-junction solar cell efficiency factors

Teaching Assistant - ME 384Q.1: Introduction to Modern Control (Spring 2025, Spring 2026)
- The University of Texas at Austin
- Conducted office hours and mentored projects on state-space modeling, controllability, observability, stability, and optimal control
- Supported MATLAB/Simulink implementations for over 80 students
Teaching Assistant - ME 344: Dynamic Systems and Controls (Spring 2026)
- The University of Texas at Austin
- Course covers lumped physical system models, bond graph modeling, linear system transient and steady-state behavior, Laplace transforms, Bode plots, and introduction to feedback control
- Support lectures, homework grading, and office hours for undergraduate students

ML/Robotics: VLA Architectures, Action Chunking (ACT), Deep Reinforcement Learning (SAC, PPO), Curriculum Learning
LLM & Foundation Models: Multi-Agent LLM Systems, Prompt Engineering, RAG, Function Calling, Qwen2.5-VL Fine-tuning, vLLM Deployment
Theory: Control Systems, MPC, Visual Servoing, LQR/LQG, H∞ Synthesis, Convex Optimization (LMI/SDP)
Simulation: MuJoCo, RoboCasa, robosuite, MATLAB/Simulink
Programming: Python (PyTorch, NumPy, CVXPY, Transformers), Linux/Bash
Tools: Git, GitHub, Docker, conda, GPU Cluster Management, Remote Server Management

For a complete list of my publications, please visit the Publications page.