Andres Castellano
Applied Ai Scientist @Nasa Goddard Space Flight Center
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WORK HISTORY
Applied Ai Scientist @Nasa Goddard Space Flight Center
New York, NY, US
Handpicked to lead research and development of ML models utilizing remote sensing data, satellite data, earth observations, and geospatial datasets at the Goddard Institute for Space Studies.Pioneered the development of AI-powered models to calculate optimal transportation routes by analyzing heat exposure and diverse geospatial and environmental factors. Initiated the creation and implementation of computational paradigms leveraging distributed computing and advanced ML techniques to dramatically optimize compute times.Propelled climate impact research by building AI-driven models based on weather data, climate projections, and time series analytics.Designed and developed automated ETL pipelines to streamline experimentation processes and accelerate modelimprovement.
EDUCATION
Universidad de los Andes (Colombia)
Master of Science - MS, Artificial Intelligence
New Jersey Institute of Technology
Master of Science - MS, Data Science
New Jersey Institute of Technology
Bachelor’s Degree, Industrial Engineering & Mathematics
SKILLS
ABOUT ANDRES CASTELLANO
I am an AI researcher with expertise in building and deploying advanced data-driven systems that integrate remote sensing, geospatial analytics, predictive modeling, and deep learning architectures to solve large-scale, high-impact challenges. My work bridges AI, IoT, robotics, and life sciences, enabling organizations to leverage technology for smarter decisions, operational efficiency, and long-term growth.Career Highlights:Led AI research at NASA Goddard Institute for Space Studies, designing models that forecast crop yields, and predict climate impacts.Built an ML-powered classification model that identifies disadvantaged communities, now utilized in the White House’s Justice40 Screening Tool.Engineered distributed computing infrastructure that cut computer time by 75% and accelerated deployment timelines by 6 months.Earned top honors at Wageningen University’s international hackathon for developing a hybrid AI model combining LSTMs with process-based modeling. Represented NASA as a panelist at the Borlaug International Dialogue, shaping thought leadership in AI for global climate and food security challenges.At Howmet Aerospace, architected an AI-driven pipeline for supply chain forecasting, improving decision-making and capturing 85% of input data effects with advanced ML.My mission is to apply AI innovation at the intersection of technology and global challenges designing intelligent systems that improve resilience, efficiency, and equity. With a dual master’s foundation in Artificial Intelligence (MS, Universidad de Los Andes) and Data Science (MS, NJIT), I bring both technical depth and strategic vision to organizations seeking to scale AI solutions.Open to opportunities in AI research, data science, reinforcement learning, robotics and applied ML engineering where I can help design intelligent systems that create measurable societal and organizational impact.
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