Education
Massachusetts Institute of Technology
2021–2025
Coursework
AI/ML: Multi-Agent Learning, Optimization, LLM from Scratch
CS: Algorithms, Python, Software Design
HCI: Multi-modal UI, Tangible Interface, Interactive Data Visualization
Simulation: City Science, System Dynamics
Chongqing University
2015–2020
Professional Experience
Research Fellow
Networked Agents and Decentralized AI (NANDA)
Nov 2025 – Present · Cambridge, MA
- Designed DataFacts, infrastructure for structured agentic dataset discovery, validation, and access control in multi-agent systems
- Built secure data-access architecture with delegated credentials and gateway enforcement at scale
Founding Technical Architect
Innostim Medtech
Nov 2025 – Feb 2026 · Beijing, CN (Hybrid)
- Architected a WeChat Mini Program for treatment management with Bluetooth device control and treatment tracking
- Engineered a multi-tenant management ecosystem for treatment data and user-behavior analytics at enterprise scale
- Deployed on Alibaba Cloud (ECS, PolarDB, ACR) with automated QA gates and Yunxiao CI/CD for reliable, low-latency releases
Founder & CTO
Onsite Copilot
Sep 2025 – Mar 2026 · Cambridge, MA
- Designed and delivered AI solutions for construction enterprises — computer vision and LLMs for drawing alignment, QA inspection, and workflow automation
- Led client-facing solution design and demos, translating business needs into scalable AI systems and pilot deployments
Applied R&D
Foster + Partners
Jun 2024 – Aug 2024 · London, UK
- Built genetic algorithm and linear programming models for large-scale space allocation with Python
- Developed model-processing components for mixed-reality spatial visualization on Pico and Vision Pro (Unity, C#, GHPython)
Product Manager
Unity Technologies
Jul 2023 – Sep 2023 · Beijing, CN
- Led 3D map interaction prototyping for next-gen EV interfaces; conducted UX usability and market research
- Managed cross-functional collaboration with engineers, designers, and PMs using Agile and Scrum; defined PRDs and tracked iterations
Research Experience
Research Assistant
MIT Urban Risk Lab
Sep 2024 – May 2025 · Cambridge, MA
- Developed a production-ready RAG-driven AI assistant using LangGraph for multi-agent orchestration and content discovery
- Implemented functional modules for dependency management and dynamic content using Angular, PostgreSQL, and Docker
Researcher
Tongji–MIT City Science Group
- Applied multi-agent reinforcement learning with computer scientists and urban planners
Computational Design RA
CarbonHouse Pilot Project
- Prototyping, engineering, and fabrication research for carbon-based future housing materials
Selected Research
MIT Thesis, CHI EA 2025, 2026Jin Gao
From Idea to Co-Creation: A Planner–Actor–Critic Framework for Agent Augmented 3D Modeling
CHI EA 2026Jin Gao, Saichandu Juluri
SIGGRAPH Posters 2026
ACADIA 2025Jin Gao
Simulating Multi-Stakeholder Decision-Making with Generative Agents in Urban Planning
TE, CAADRIA Workshop 2025Jin Gao, Hanyong Xu, Luc Dao
From Sketch to Design: A Cross-scale Workflow for Procedural Generative Urban Design
CAADRIA 2024Jin Gao, Sayjel Patel
DataFacts (Data Passbook): Structured Agentic Dataset Discovery, Validation, and Access Control
NANDA, MIT Media Lab 2025Jin Gao
Consensus-Based Multi-Agent Reinforcement Learning for Urban Planning
arXiv preprint 2023Jin Gao, Kejiang Qian, Lingjun Mao, Xin Liang, Yimin Ding, Xinran Wei, Ziyi Guo, Jiajie Li
Simulating Multi-Purpose Autonomous Vehicles: Shared Mobility Between People and Goods
Gama-Days Conference 2022Chance Jiajie Li, Jin Gao, Ziyi Tang, Trent Tepool, Hiromu Ryan Rose
Du'an Charity Canteen: Design–Build Community Architecture
The Commercial Press HK 2020Jin Gao
The Third Nature: Epitaph of Decommissioned Dams
Urbanism in the Expansion Field 2019Jin Gao
Historic Building Survey Methods: Investigation and Documentation in Early Conservation Stages
Academic publication 2019Jin Gao
Towards a Zero-Emission and Resilient Real Estate Sector: South Korea chapter
Global Outlook whitepaper 2024Jin Gao, Zhengzhen Tan
Skills
- Web & visualization: TypeScript, React, Angular, Vue, Three.js, D3.js
- AI/ML: PyTorch, deep learning, multi-agent RL, fine-tuning (LoRA)
- Agentic infrastructure: Alibaba Cloud, LangGraph, A2A, RAG, MCP
- 2D/3D design: Figma, Unity, Fusion, Photoshop, Illustrator, Rhino
- Systems: Docker, MongoDB, PostgreSQL, CI/CD, testing
- Product & workflow: User research, Agile, Scrum, Jira, Kanban
Achievements
- Best Exploratory XR Work, HarvardXR '26
- Winner, Best use of Snap Cloud — MIT Reality Hack '26
- Winner, XR Creator Con Hackathon 2025
- Winner, MIT Decentralized AI Challenge
- Winner, MIT Reality Hack '25 Moonshot Award (2/100+)
- Runner-up, Meta Best MR Lifestyle App — MIT Reality Hack '25
- Silver Prize, MIT Intro to Deep Learning Project Competition
- Winner, 2023 Young Climate Prize (25 worldwide)