CV

Education

Texas A&M University, Ph.D. Candidate in Mechanical Engineering, January 2023 - Present

• GPA: 4.0/4.0
• Dissertation: Developing practical learning-based controls for building energy systems
• Advisor: Dr. Zheng O'Neill, PhD, PE, FASHRAE, FIBPSA

Tongji University, M.S. in HVAC & Gas Engineering, September 2019 - March 2022

• Overall GPA: 4.37/5
• Thesis: A hybrid energy consumption prediction model for office buildings based on heterogeneous data
• Advisor: Peng Xu, PhD, PE, MBA, FIBPSA

Chongqing University, B.E. in Built Environment (minor in Business Administration), September 2015 - June 2019

• GPA: 3.69/4; rank: 2/113
• Thesis: Preliminary study on the automatic design of HVAC system based on BIM
• Supervisors: Nan Li, Peng Xu

Experience

Research Assistant Texas A&M University 2023 - Present

• Mentor: Zheng O'Neill
• Specializing in occupancy-centric control, large-scale energy data analysis, and learning-based optimization for efficient energy management.

Machine Learning Research Intern Hewlett Packard Enterprise May - Aug. 2025

• Mentors: Soumyendu Sarkar, Avisek Naug
• Developed reinforcement learning control for data center liquid cooling systems.

Graduate Research Intern Oak Ridge National Laboratory Jun. - Aug. 2024

• Mentors: Sen Huang, Jamie (Jianming) Lian
• Developed control-oriented models and conducted field testing for model-predictive control strategies to optimize energy costs in a grid-interactive commercial building while maintaining thermal comfort.

Research Assistant Hong Kong University of Science and Technology Sep. - Dec. 2022

• Conducted research on implementing model predictive control to optimize the HVAC system of a commercial building.

Research Assistant Tongji University Sep. 2019 - Mar. 2022

• Mentor: Peng Xu
• Developed a hybrid energy prediction model; conducted research on automatic BIM to BEM conversion and HVAC system sizing.

Assistant Designer CMCU Engineering Co. Ltd., Chongqing, China Jul. - Aug. 2017

• Assisted in the design of the HVAC system for a high-rise residential building in Guizhou, China.

Selected Research Projects

Large-Scale Smart Meter Data Analysis — May 2024 - Present Funded by Texas A&M University

• Data cleaning for real-world smart meter data from over 2 million consumers in the Greater Houston Area, Texas.
• Analyzed the energy resilience in a changing climate through 2090 by developing data-driven models.
• Correlated electricity consumption with demographic factors and tree canopy.

An Integrated Approach to Modeling, Decision-Making and Control for Energy Efficient Manufacturing — Sep. 2023 - Aug. 2026 Funded by the National Science Foundation (NSF); lead graduate researcher at TAMU

• Developed and validated control-oriented models for the HVAC systems of semiconductor cleanrooms.
• Designed and implemented a decision-making and adaptive control scheme for AHUs.

Quantification of HVAC Energy Savings for Occupancy Sensing in Buildings Through an Innovative Testing Methodology — Jan. 2023 - Aug. 2024 Funded by ARPA-E; research assistant at TAMU

• Analyzed sensor accuracy, energy savings, and thermal comfort across three field tests.
• Extracted typical occupancy schedules from field-measured data using K-means clustering.
• Developed a data-driven model to quantify HVAC energy savings under different weather conditions, occupancy schedules, and control strategies.

Development and Validation of Smart Building Technology Modules for Academic and Professional Education — Jan. 2023 - Dec. 2025 Funded by the U.S. Department of Energy (DOE); research assistant at TAMU

• Polished and proofread educational modules.

Target-Controlled Feedforward Management Technology for Green Buildings — 2019 - 2021 Funded by the "13th Five-Year Plan" Key Research Program, China; research assistant at Tongji University

• Developed an automatic tool to convert BIM (Revit) to BEM (EnergyPlus) through an intermediate gbXML file.
• Enabled automatic gbXML checking and IDF enrichment to ensure successful BIM-to-BEM conversion.

Automatic HVAC Design — 2020 - 2021 Funded by Tongji University Architectural Design Institute Co., Ltd.; research assistant at Tongji University

• Developed an automatic configuration tool for AHU, FCU, and chiller sizing in Python.

Skills

• Programming & Tools: Python, EnergyPlus, BIM/Revit, gbXML/IDF workflows
• Modeling & Control: Model predictive control (MPC), reinforcement learning, control-oriented modeling
• Data Analysis: Large-scale smart meter/building energy data analysis, K-means clustering, data-driven modeling
• Languages: English (Fluent), Chinese (Native)