Zhenzhen Zhang

Data Scientist at Revibe Technologies
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Contact Information
us****@****om
(386) 825-5501
Location
Raleigh, North Carolina, United States, US
Languages
  • 中文 Native or bilingual proficiency
  • 英文 Professional working proficiency

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Credentials

  • PhD in Forestry and Environmental Resources
    美国北卡罗莱纳州立大学
    Dec, 2021
    - Nov, 2024

Experience

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Data Scientist
      • Jan 2022 - Present

      ● Developing and optimizing deep learning models (PyTorch) for inference/prediction on time series data from wearable motion sensors. ● Research design and application and data collection for ML. ● Deploy and manage models to AWS cloud (Lambda) ● Conducting statistical analysis and providing insights for clinical studies and customers. ● Preparing regulatory requirements and guidelines for clinical studies, such as IRB protocols. ● Developing and optimizing deep learning models (PyTorch) for inference/prediction on time series data from wearable motion sensors. ● Research design and application and data collection for ML. ● Deploy and manage models to AWS cloud (Lambda) ● Conducting statistical analysis and providing insights for clinical studies and customers. ● Preparing regulatory requirements and guidelines for clinical studies, such as IRB protocols.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Aug 2017 - Dec 2021

      > Analyzed mixed-method - statewide survey (Mixed effect logistic regression.) and mobile phone data (GLM) to assess how COVID-19 affect the park use across demographics and vulnerable communities across NC. Findings provide insight for decision makers to address the pre-existing health disparities exaggerated by inequitable access and utilization of parks. > Flooding risk analysis for historically marginalized groups using geospatial and deep learning (convolutional neural net) methods for establishing pre-hazard alert to produce data-driven actionable insights that assist local communities make adaptive decisions. > Evaluating the economic feasibility of emerging sustainable building materials (cross-laminated timber/CLT) by providing the transportation cost information to reduce CO2 emission. Predicting Southern US CLT demanding from 2020-2050 under varied market demand levels (1-15%). > Environmental justice assessed using remote sensed data and deep learning methods. Mapping spatial distribution of tree canopy cover using ArcGIS and R. Maps provide transparent and consolidated information for school district administrative board. >Surveyed 200+ students and 14 teachers in Wake County Public School Systems to understand students’ preference for nature-based design in schoolyards. Evaluating user preference and identifying curriculum, graphic and demographic predictors of usage using GLM (random effect regression models) in R. Show less

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Research assistant, Urban Sustainable Research Group
      • May 2016 - Jun 2017

      1. Working with Warrendale neighborhood in the City of Detroit via survey and interview, and developed nature-based strategic plan for the neighborhood to promote the nature-based solution. This plan provides actionable scenarios for neighborhoods to take adaptation strategies (e.g., renewable energy). 2. Leading research: developing urban renovation model for Detroit using a multi-criteria method that combined ecological theory, socioecological indicators, and geospatial data, published in Urban Forestry & Urban GreeningSoftware: ArcGIS, Python, FRAGSTATS, CONEFOR Show less

    • Research Assistant, Environmental Spatial Analysis Lab
      • May 2016 - Jun 2017

      1.GIS analysis and mapping forest transition between 1949-2015, published in Michigan academician.2.Conducting land cover/land-use change analysis. > Geodatabase management. Software: ArcGIS, ERDAS Image, Adobe Photoshop

    • United States
    • Higher Education
    • 700 & Above Employee
    • Arboretum Intern
      • May 2015 - Aug 2015

      1. Garden management 2. Trail construction and maintenance 1. Garden management 2. Trail construction and maintenance

    • China
    • Accounting
    • 1 - 100 Employee
    • Consultant Internship
      • Jun 2013 - Nov 2013

      1. Helping the client for targeting and allocating the bumblebee market (as a pollinator for tomato production) in China. 2. Working on data collection, including information related to the place of production, annual production/yield, fertilization method, etc. 1. Helping the client for targeting and allocating the bumblebee market (as a pollinator for tomato production) in China. 2. Working on data collection, including information related to the place of production, annual production/yield, fertilization method, etc.

    • Intern
      • Jan 2012 - Feb 2012

      1. Landscape planning for Nanchong Flower Town. Assisting data collection. 2.Landscape Design for Highway, Fengjie. Assisting CAD drawing. 1. Landscape planning for Nanchong Flower Town. Assisting data collection. 2.Landscape Design for Highway, Fengjie. Assisting CAD drawing.

    • Intern
      • Jul 2011 - Aug 2011

      Managed greenhouse Managed greenhouse

Education

  • 美国北卡罗莱纳州立大学
    Doctor of Philosophy - PhD, Forestry, Interdisciplinary Sustainable Science
    2017 - 2021
  • University of Michigan- School for Environment and Sustainability
    Master of Landscape Architecture, Landscape Architecture
    2014 - 2017
  • University of Michigan
    Master of Science - MS, Environmental Science
    2014 - 2017
  • University of Michigan- School for Environment and Sustainability
    Master of Science - MS, Environmental Informatics
    2014 - 2017
  • 北京林业大学
    Bachelor of Agriculture, Ornamental Horticulture
    2010 - 2014

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