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Ling Jin 

Research Scientist
Lawrence Berkeley National Laboratory
Picture
Panelist: Algorithms and Data for Equity ​
Ling is a Research Scientist at Lawrence Berkeley National Laboratory and a multidisciplinary expert in air quality modeling, statistics, and resources economics. She strives to advance artificial intelligence and computing applications to the domains of climate/atmospheric science, travel behavior, and electricity market. Her recent projects include identifying pollution control strategies to improve the air quality of California’s disadvantaged communities, modeling travel mode and vehicle ownership dynamics to facilitate emerging technology adoption, and segmenting households with machine learning to improve the cost-effectiveness of demand-response programs in electricity market. Her work has been widely published by AGU, ACS, AAAI, IEEE, and ACM.

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  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conference
    • Regional Conferences 2022
    • WiDS 2022 Videos
    • Schedule 2022 >
      • In-person Schedule 2022
      • Online Schedule 2022
    • Speakers 2022
    • Ambassadors 2022
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Excellence in Research Award 2022
    • Datathon Resources
    • WiDS Datathon Workshops 2022
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Secondary Schools >
      • Secondary School Resources
      • Education Outreach Committee
      • Education Outreach Student Advisors