My potential research in graduate school will be focusing on the integration of Geospatial Artificial Intelligence and geospatial data (GEOAI) to extract meaningful trends, insights, and robust decision making in disaster response and management. My goal is to generate predictive models that can analyze temporal data and real-time information to forecast the probability and severity of future disaster occurrences and generate hazard maps for situational awareness. Additionally, utilize geospatial big data through Social Sensing to obtain time-sensitive, disaster-associated data and analysis to enhance timely disaster response.

I hope to continue with my career in Geospatial Data Science that includes GIS, remote sensing, and data science. I am passionate about the emerging trends in GIScience and leveraging Artificial Intelligence in spatial data science. My focus is to enhance my GeoAI, Remote Sensing, and Data Science knowledge, SQL, Python, and R programming skills.

Apart from my academic and career endeavours, I am a social and outspoken individual. I enjoy hiking, cultural music/dances, karaoke, nature photography, WWE, influencer boxing, Formula 1 (Tifosi Ferrari), a little bit of Hockey, and a strong Arsenal supporter.

Explore my GitHub at https://github.com/Iamnyatichi.