Daniel Young

Daniel Young

Daniel Young is a Data Scientist and incoming Ph.D. student at the University of Texas at Austin applying automatic decision-making to AI for good use-cases such as Project Resilience. Work on finding land-use planning strategies with neuroevolutionary was published in ‘Environmental Data Science’ and received the ‘Best Pathway to Impact award’ at the NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning.

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  • Organization
    University of Texas, Austin
  • Profession
    Data Scientist and PhD Candidate
Related sessions
In personAI and cities AI and food/agriculture 
11 July 2025
09:00 - 12:15
EST - New York
CST - Beijing
PST - Los Angeles
AWST - Perth, Australia
As agriculture faces increasing pressure from resource constraints, and a...