基本信息
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个人简介
Data Science Leader spearheading AI-driven innovations across scientific and business domains. As the Data Science Lead at ESR, I orchestrate AI-powered cutting-edge solutions through technologies such as Generative AI, Digital Twins, Large Population Models, Geospatial data science, Time series forecasting, and others.
Throughout my career, I have leveraged AI and advanced analytics across diverse sectors, including supply chain logistics of primary industries, remote sensing of vegetation, productivity forecasting, and delivering data-driven insights for different government agencies.
Beyond my current role, I draw from years of expertise as former Principal Scientist at PlantTech Research Institute and a background in Computational Astrophysics across Spain, the UK, and Chile. This global perspective contributes to my research output of over 80 peer-reviewed papers across astrophysics, machine learning, remote sensing and epidemiological data science. I'm also currently a Board member for the AI Researchers Association of New Zealand.
I strive to contribute to shaping the future of data science in New Zealand and beyond, fostering a new era of AI-powered solutions that deliver positive impact for our economy, society and environment.
Throughout my career, I have leveraged AI and advanced analytics across diverse sectors, including supply chain logistics of primary industries, remote sensing of vegetation, productivity forecasting, and delivering data-driven insights for different government agencies.
Beyond my current role, I draw from years of expertise as former Principal Scientist at PlantTech Research Institute and a background in Computational Astrophysics across Spain, the UK, and Chile. This global perspective contributes to my research output of over 80 peer-reviewed papers across astrophysics, machine learning, remote sensing and epidemiological data science. I'm also currently a Board member for the AI Researchers Association of New Zealand.
I strive to contribute to shaping the future of data science in New Zealand and beyond, fostering a new era of AI-powered solutions that deliver positive impact for our economy, society and environment.
研究兴趣
论文共 69 篇作者统计合作学者相似作者
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ASTRONOMY & ASTROPHYSICS (2024)
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2024)
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYno. 3 (2021): 3155-3168
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