CV
Public-profile version
This page highlights doctoral training, selected roles, public projects, and public-facing recognition.
Doctoral Training
Research background
- TU DelftPh.D. in Electrical Engineering and Computer Science.
Selected Experience
Selected public roles
- CEO & CTO, Beijing Reneng TechnologyLeading strategy and product development for an energy decision-agent platform covering power trading, storage dispatch, industrial-park energy, and multi-asset operations.
- Founder, Energy Quant Research InstitutionDriving research translation in electricity markets, energy AI, and intelligent decision systems.
- Power Trader / Market ResearcherEuropean power-market analysis, short-term trading practice, and market-facing strategy work.
- Ph.D. Researcher, TU DelftReinforcement learning, storage dispatch, and energy-system optimization.
Selected Projects
Representative work
- RL-ADNOpen research environment for energy storage dispatch and deep reinforcement learning.
- DATALESsSystem-theoretic analytics for local energy systems and green buildings.
- Campus energy digital twin workMonitoring, forecasting, and decision-support concepts for campus-scale energy systems.
Honors and Public Roles
Selected recognition
- NWO Rubicon FellowshipSelected for independent research at the intersection of energy AI and electricity market evolution, 2026.
- China Artificial Intelligence Application Innovation ChallengeFirst prize in the seed group, 2026.
- Shenzhen Innovation and Entrepreneurship CompetitionFirst prize at the overseas regional event, 2025.
- Dutch association of Chinese scholars and engineersBoard-level and secretary-general public service roles.