主要研究方向是物理－生物地球化学耦合模式的开发与应用，特别是基于Regional Ocean Modelling System (ROMS) 和 M.I.T General Circulation Model (MITgcm) 模式体系下生化模块的开发与改进。这些先进的国际模式被应用于理解近海及全球海洋动力过程对生态及生物地球化学要素的影响过程研究。目前我们课题组利用从海湾、近海到全球的一系列模式来进行缺氧、氮循环及碳循环的研究。鉴于全球气候变化对全球经济及我们生活质量的影响，耦合模式技术为经济可持续发展提供科学决策依据。
硕士：University California of Los Angeles (Master of Finance Engineering)
博士：Texas A&M Unviersity, College Station (Oceanography)
本科：中国海洋大学 (海洋专业本硕连读)
中国科学院南海海洋研究所，研究员
美国洛杉矶基金管理公司 (Los Angeles Capital Management, LLC) ，实习量化分析师
美国加州理工学院喷气推进实验室(Caltech-NASA JPL), 博士后
1. 中国科学院BRJH率先行动技术英才（海洋数值模式方向）项目, 起止时间：2019.01-2021.12，主持;
2. 南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项 “全球变化下粤港澳大湾区海洋动力-生地化过程及其可预报性研究”起止时间: 2019.09-2022.8.31,在研,参加(项目负责人:杜岩),核心团队成员;
3. 中国科学院南海海洋研究所热带海洋环境重点实验室自主研究项目"氮磷污染物对珠江口缺氧区的影响机制与调控对策研究" 起止时间:2021.06-2024.05, 主持
近五年发表文章_10_篇、授权专利_1_件，代表性论文（第一作者或通讯作者）：
1. Luo L, Meng Z, Ma W, Huang J, Zheng Y, Feng Y.*, Li Y, Liu Y, Huang Y and Zhu Y (2023). The second-generation real-time ecological environment prediction system for the Guangdong–Hong Kong–Marco Greater Bay Area: Model setup, validation, improvements, and online visualization. Frontier in Marine Science. https://doi.org/10.3389/fmars.2023.1096435
2. Feng, Y.*, Huang, J., Du, Y., Balaguru, K., Ma, W., Feng, Q., et al. (2022). Drivers of phytoplankton variability in and near the Pearl River Estuary, South China Sea during Typhoon Hato (2017): A numerical study. Journal of Geophysical Research: Biogeosciences, 127, e2022JG006924. https://doi.org/10.1029/2022JG006924
3. Feng, Y.*, D. Menemenlis, H. Xue, H. Zhang, D. Carroll, Y. Du, H. Wu (2021), Improved representation of river runoff in Estimating the Circulation and Climate of the Ocean Version 4 (ECCOv4) simulations: implementation, evaluation and impacts to coastal plume regions, Geoscientific Model Development, https://doi.org/10.5194/gmd-2020-321
4. Feng, Y*, DiMarco, S. F., Balaguru, K., & Xue, H. (2019). Seasonal and interannual variability of areal extent of the Gulf of Mexico hypoxia from a coupled physical‐biogeochemical model: A new implication for management practice. Journal of Geophysical Research: Biogeosciences, 124,1939–1960. https://doi.org/10.1029/2018JG004745
5. Feng, Y*, M. A. M. Friedrichs, J. Wilkin, H. Tian, Q. Yang, E. E. Hofmann, J. D. Wiggert, and R. R. Hood (2015), Chesapeake Bay nitrogen fluxes derived from a land-estuarine ocean biogeochemical modeling system: Model description, evaluation, and nitrogen budgets, Journal of Geophysical Research: Biogeosciences, 120, 1666–1695, https://doi.org/10.1002/2015JG002931.
6. Feng, Y*, K. Fennel, G. A. Jackson, S. F. DiMarco, R. D. Hetland (2014), A model study of the response of hypoxia to upwelling-favorable wind on the northern Gulf of Mexico shelf, Journal of Marine System, 131, 63-73, https://doi.org/10.1016/j.jmarsys.2013.11.009
7. Feng, Y*, S. F. DiMarco, and G. A. Jackson (2012), Relative role of wind forcing and riverine nutrient input on the extent of hypoxia in the northern Gulf of Mexico, Geophysical Research Letters, 39, L09601, https://doi.org/10.1029/2012GL051192.
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