
Personal research journal
Wesley Lu
Welcome to My Page
I’m an undergraduate studying and at Georgia Tech. My interests lie at the intersection of machine learning, language models, and performant systems, with a long-term focus on LM/ML research. I currently work with and in the Du Lab at the University of Virginia, developing machine learning systems for decision-making. I also conduct research on language model post-training and security benchmarking in the at the University of Illinois Urbana-Champaign.
I spent two summers at Amazon developing backend infrastructure for a conversational AI product. My work involved exploring chain-of-thought reasoning, agentic interactions, and LangGraph architectures to improve system reliability and performance. Before Amazon, I developed websites for the real estate industry.
Outside of computer science, I have experience in fundamental equity research, personal portfolio management, and reselling ventures, through which I generated more than six figures in revenue.
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Recent
Every Interface Is Now an Agent Interface: Computer Use Agents
A short writeup on GUI testing for computer use agents and motivations for creating Inspector
Training Verifiers Through Debate: Three-Agent Prover-Verifier Game
A three-agent extension of the prover-verifier game where two adversarial provers debate to train a more robust verifier.
ML Undergraduate Researcher · University of Virginia
Under the guidance of Hongru Du, PhD, I’m building an LM for human decision modeling pipeline that generates interpretable decision rules from primitives and iteratively improves them using model feedback. I also incorporate prior probabilities and update them with observed outcomes on a mobility dataset, using gradient descent to better fit parameters and calibrate predicted choice probabilities.
World Models & Vision-Language-Action Models: An Advanced Field Guide
A technical survey of how machines learn to simulate and act in the physical world from Sutton's Dyna to pi-0 and Dreamer 4 covering architectures, math, and open problems.
Jump's Crypto Reading List (ip)
This is a collection of notes from Jump's Crypto Reading List
Software Development Engineer Intern · Amazon
Incoming 2026 summer