Lemeng Wang
OSU CSE → Stanford MSEE

Lemeng
Wang

Computer scientist, researcher, and builder. I work at the intersection of computer vision, multimodal AI, and thoughtful software — with a soft spot for projects that make technology feel more human.

Computer Vision Software Engineering Robotics AWS Certified

About Me

I'm currently pursuing my M.S. in Electrical Engineering at Stanford University, with a background in Computer Science & Engineering from The Ohio State University (GPA 3.91, Honors Research Distinction). My interests lie at the intersection of computer vision, machine learning, robotics, and software engineering.

My research focuses on building and evaluating robust AI systems in real-world settings. I've led first-author work published at ECCV and CVPR Workshops, exploring model reliability, distribution shifts, and challenging visual recognition tasks. Beyond research, I enjoy turning ideas into real products, from AI-powered applications to full-stack platforms.

Outside of academics, you'll find me working on side projects, exploring new places, or enjoying a competitive game of squash.

lemengw@stanford.edu ✉️ lemengwangflora@gmail.com ✉️
Stanford University
M.S. Electrical Engineering
June 2028
The Ohio State University
B.S. Computer Science & Engineering Honors · GPA 3.91
Dean's List · May 2026
Certification
AWS Certified Cloud Practitioner
Amazon Web Services · Jan 2025

Skills & Technologies

From low-level systems to full-stack apps to ML pipelines — here's what I reach for.

Python PyTorch React Swift / iOS Java JavaScript C# Flutter / Dart HTML & CSS Tailwind Next.js Bootstrap AWS Linux Git SQL OpenCV YOLO SceneKit Unity CAD Android Ruby Assembly

Personal Projects

Things I've built — from AI-powered mobile apps to research tools and startup platforms. Occasionally, interesting ideas pop into my mind.

💇‍♀️ React Native · TypeScript · Supabase
Lumi Hair — AI Hairstyle Studio ✨

An iOS app that brings hairstyle inspiration, step-by-step tutorials, and personalized AI try-ons together in one place. Built with React Native, TypeScript, and Supabase, featuring AI image generation, private photo storage, and subscription-based premium features.

React Native TypeScript Supabase AI Image Generation iOS
📚 RAG · Next.js · FastAPI
ICAT — AI Research Assistant 📖

A full-stack, RAG-powered research assistant that transforms academic papers into interactive learning experiences. Features contextual explanations, structured summaries, concept tracking, and Quizlet-style review cards, with persistent learning progress, subscription billing, and usage-based access controls.

RAG Next.js FastAPI PostgreSQL LLM Full-stack
View Demo →
🐹 React · Next.js · Startup
Little-Hamster Warehouse Co. 🐹

Helped build a student storage startup from the ground up, combining web development with business strategy. Developed a Next.js booking platform, streamlined the customer experience, and helped drive 5× annual revenue growth through digital optimization and market expansion.

React Next.js Vercel Startup Leadership
View Website →

Research

Published in top-tier venues — NeurIPS, CVPR, ECCV, CVPR Workshop, and arXiv.

L Wang*, Q Lei*, V Bakshi, D Yi, Y Liu, J Hou, AS Hao, Z Mai, WL Chao, R T. Tan, B Wang
CVPR Workshop 2026 ★ Co-First Author
Apr 2026
S Jeon*, H Tian*, L Wang*, Z Mai, V Bakshi, J Hou, P Zhang, A Chowdhury, J Gu, WL Chao
ECCV 2026 ★ Co-First Author
Mar 2026
Z Mai, A Chowdhury, Z Wang, S Jeon, L Wang, J Hou, J Kil, WL Chao
CVPR 2026
Dec 2025
J Kil, Z Mai, J Lee, A Chowdhury, Z Wang, K Cheng, L Wang, Y Liu, WL Chao
NeurIPS 2024
May 2024
Full Publication List →

Research Experience

🔬
Research Assistant
The Ohio State University · Advised by Prof. Wei-Lun Chao
May 2024 – Present
  • Research on vision-language models and robustness in real-world deployment settings (camera-trap data)
  • Developed diagnostic benchmarks and evaluation protocols for analyzing failure modes (OOD, temporal drift, class imbalance)
  • Co-authored publications at NeurIPS and CVPR; led first-author work on model evaluation under distribution shift and human object interaction
  • Curated and labeled 40,000+ image pairs across diverse domains for multimodal benchmark development

Beyond the Code

Collecting experiences, not just commits.

🏸
Squash

Fast rallies, quick reflexes, and a little friendly competition — nothing beats the thrill of a good squash match.

Squash Racket Sports
⛸️
Figure Skating

Chasing elegance on ice — a pursuit of grace, balance, and (occasionally) dignity.

Figure Skating
🌍
Traveling

Collecting moments, not things — Singapore, Columbus, Vancouver, Berlin, and wherever's next.

Singapore Berlin Vancouver

Let's Connect

I'm always happy to chat about research, collaboration, or just cool projects. Reach out and I'll get back to you!