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Yihan Wang - Research Intern, Scientific Data Division

Yihan Wang

Junior Hydrology Machine Learning Researcher specializing in generative and state-space models

Lawrence Berkeley National LaboratoryUniversity of Oklahoma3 Years ExperienceJunior LevelWorks On-Site

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Experience

Research Intern, Scientific Data DivisionLawrence Berkeley National Laboratory · May 2025 – Aug 2025internship
Graduate student research assistantUniversity of Pittsburgh · Sep 2021 – Apr 2023
Student AssistantLos Angeles Regional Water Quality Control Board · Oct 2020 – Mar 2021part-time
Summer InternNanjing University Academy of Environmental Planning & Design, Inc. · Jun 2019 – Aug 2019internship
Teaching AssistantUniversity of Pittsburgh · Sep 2021 – Dec 2021part-time

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Education

University of Oklahomadoctorate, Hydrology (2026)
UCLAmaster, Hydrology (2020)
Hohai Universitybachelor, Hydrology & Water Resources Engineering (2018)

Awards

  • 2025 Thomas I. Brown, Jr. Endowed Scholarship - University of Oklahoma
  • 2024 Walt Kolb Civil Engineering Graduate Fellowship - University of Oklahoma
  • Robberson Travel Grant - OU Graduate College
  • 2023 Graduate Student Senate Conference/Travel Grant - University of Oklahoma
  • 2024 Graduate Student Senate Conference/Travel Grant - University of Oklahoma
  • 2025 Graduate Student Senate Conference/Travel Grant - University of Oklahoma
  • 2024 GCoE Graduate Student Travel Award - University of Oklahoma
  • 2025 GCoE Graduate Student Travel Award - University of Oklahoma
  • 2017 Liu Guangwen National Scholarship - China
  • 2016 Government Scholarship for Overseas Exchange Program - Jiangsu Province, China
  • 2015 Hohai University Outstanding Student Scholarship
  • 2016 Hohai University Outstanding Student Scholarship

Skills

PythonMATLABC++PyTorchscikit-learnGitLinuxMachine LearningData PreprocessingWorkflow OrchestrationTechnical DocumentationRStudioHPCArcGISHEC-RAS

Languages

English

Certifications

Fundamentals of Engineering (FE) Civil (NCEES)

Publications

6 publications

Hydrologic ModelingRainfall-Runoff SimulationStreamflow ForecastingProbabilistic ForecastingDiffusion ModelsState Space ModelsPhysics-Informed Machine LearningMass Conservation in Neural NetworksSubseasonal Precipitation Forecast EvaluationWater Supply ForecastingSnow Water Equivalent Impacts

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EducationPythonMATLABC++PyTorch

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Typically responds within 24 hours

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Yihan WangJunior Hydrology Machine Learning Researcher specializing in generative and state-space models