He serves as Director of the Information Center of the IAE. His research focuses on forest remote sensing, ecosystem carbon and water cycles, and ecological informatics. He has developed LiDAR-based methods for high-precision biomass estimation and forest 3D structure characterization, and proposed machine learning approaches for flux data processing in complex terrains. He has published 20+ papers as first/corresponding author in leading journals. He has led projects funded by the NSFC and the National Key R&D Program of China. He has received second Prize of the National Science and Technology Progress Award and the Science and Technology Promotion and Development Prize of the Chinese Academy of Sciences.

• 2002–2006 B.Sc., Land Resource Management Shenyang Agricultural University • 2006–2009 M.Sc., Land Use and Information Technology Shenyang Agricultural University / Chinese Academy of Agricultural Sciences (Joint Program) • 2010–2013 Ph.D., Agricultural Remote Sensing Chinese Academy of Agricultural Sciences

• 2013–2015 Postdoctoral Fellow Institute of Applied Ecology, Chinese Academy of Sciences • 2015–2016 Assistant Researcher Institute of Applied Ecology, Chinese Academy of Sciences • 2016–2023 Associate Professor Institute of Applied Ecology, Chinese Academy of Sciences • 2023–Present Professor Institute of Applied Ecology, Chinese Academy of Sciences

• Forest remote sensing • Ecosystem carbon and water cycles • Application of information technologies in ecology

• Second Prize, National Science and Technology Progress Award (2019) • Two awards of Science and Technology Promotion and Development Prize, Chinese Academy of Sciences

o National Natural Science Foundation of China (General Program & Young Scientists Fund) o National Key R&D Program of China o Strategic Priority Research Program (Category A) of the Chinese Academy of Sciences

[1] Li TT, Gao T*, Teng DX, Chen Z, Yang B, WEang XC, Zhao C, Zhang J, Huang H, Guan C, Wu JB, Yu F, Zhang J, Sun Y, Li S, Zhou XH, Zhu J. Eddy covariance CO2 flux data filtering and gap filling in mountainous forests: A multi-tower-based comparison using Qingyuan-Ker Towers. Science China Earth Sciences 2026, 56(1): 133-146. [2] Gao T, Zhu J*, Xu Y, Li X, Wang X, Yu F, Teng D, Sun Y, Zhang J: Wind regimes and their drivers in mountainous forests: collaborative observations by Qingyuan Ker Towers. Agricultural and Forest Meteorology 2025, 368:110545. [3] Li S, Yan Q, Gao T*, Wang X, Wang Q, Yu F, Lu D, Liu H, Zhang J, Zhu J: Ratio of photosynthetically active radiation to global solar radiation above forest canopy in complex terrain: measurements and analyses based on Qingyuan Ker Towers. Ecological Processes 2024, 13(35). [4] Li S, Yan Q, Liu Z, Wang X, Yu F, Teng D, Sun Y, Lu D, Zhang J, Gao T* Zhu J. Seasonality of albedo and fraction of absorbed photosynthetically active radiation in the temperate secondary forest ecosystem: A comprehensive observation using Qingyuan Ker towers. Agricultural and Forest Meteorology 2023, 333: 109418. [5] Zhou X, Gao T*, Takle ES, Zhen X, Suyker AE, Awada T, Okalebo J, Zhu J. Air temperature equation derived from sonic temperature and water vapor mixing ratio for turbulent airflow sampled through closed-path eddy-covariance flux systems. Atmospheric Measurement Techniques‌ 2022, 15(1):95-115. [6] Zhou X, Gao T*, Pang Y, Mahan H, Li X, Zheng N, Suyker AE, Awada T, Zhu J. Based on atmospheric physics and ecological principle to assess the accuracies of field CO2/H2O measurements from infrared gas analyzers in closed-path eddy-covariance systems. Earth and Space Science 2021, 8(10): e2021EA001763. [7] Yu Y#, Gao T#, Zhu J, Wei X, Guo Q, Su Y, Li Y, Deng S, Li M. Terrestrial laser scanning-derived canopy interception index for predicting rainfall interception. Ecohydrology 2020, 13(5): e2212. [8] Gao T, Zhu J*, Yan Q, Deng S, Zheng X, Zhang J, Shang G. Mapping growing stock volume and biomass carbon storage of larch plantations in Northeast China with L-band ALOS PALSAR backscatter mosaics. International Journal of Remote Sensing 2018, 39(22): 7978-7997. [9] Gao T, Zhu J*, Deng S, Zheng X, Zhang J, Shang G, Huang L. Timber production assessment of a plantation forest: An integrated framework with field-based inventory, multi-source remote sensing data and forest management history. International Journal of Applied Earth Observation and Geoinformation 2016, 52: 155-165. [10] Gao T, Zhu JJ*, Zheng X, Shang G, Huang L, Wu S. Mapping spatial distribution of larch plantations from multi-seasonal Landsat-8 OLI imagery and multi-scale textures using random forests. Remote Sensing 2015, 7(2): 1702-1720.