简历：
2019 年在中国科学院大学获得工学博士学位（计算机软件与理论），同年入职计算所先进计算机系统研究中心，2021年9月聘任为副研究员。担任 BenchCouncil 执行委员会委员，国际测试基准与标准大会（Bench）指导委员会委员。获得 2021年BenchCouncil 新星奖，入选2021年计算所“新百星计划”。
研究方向：
大数据和人工智能的统一抽象，开源计算机系统原型和场景模拟器研究
代表论著：
1) Wanling Gao, Fei Tang, Jianfeng Zhan, Xu Wen, Lei Wang, Zheng- Cao, Chuanxin Lan, Chunjie Luo, Xiaoli Liu, Zihan Jiang. AIBench Scenario: Sce- nario-distilling AI Benchmarking. IEEE PACT 2021.
2) Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Fei Tang, Biwei Xie, Chen Zheng, Xu Wen, Xiwen He, Hainan Ye, Rui Ren. Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads. IEEE PACT 2018.
3) Xu Wen, Wanling Gao, Anzheng Li, Lei Wang, Zihan Jiang, Jianfeng Zhan. CMLCompiler: A Unified Compiler for Classical Machine Learning. The ACM International Conference on Supercomputing 2023 (ICS'23)
4）Guoxin Kang, Lei Wang, Wanling Gao, Fei Tang, Jianfeng Zhan: OLxP- Bench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems. IEEE ICDE 2022.
5) Zihan Jiang, Wanling Gao, Fei Tang, Lei Wang, Xingwang Xiong, Chunjie Luo, Chuanxin Lan, Hongxiao Li, Jianfeng Zhan. HPC AI500 V2.0: The Methodology, Tools, and Metrics for Benchmarking HPC AI Systems. IEEE CLUSTER 2021.
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