I’m Chun Wing Lo, a Hong Kong-based meteorology professional crafting weather intelligence for aviation while pursuing advanced statistics and data science. With a foundation in mathematics and a passion for climate resilience, I bridge operational meteorology with machine intelligence to unlock safer and more sustainable airspaces.
Blending operational meteorology and instructional STEM leadership to design high-impact weather intelligence for aviation ecosystems.
Delivering mission-critical aviation weather services and leveraging atmospheric science expertise to support real-time operational decisions, data-informed forecasting, and collaborative climate resilience initiatives.
Completed a four-week STEM internship, designing immersive mathematics sessions that empowered learners through analytical thinking and applied problem-solving.
Deepening quantitative mastery and meteorological specialization to engineer adaptive climate intelligence solutions.
Advancing statistical modeling, machine learning, and data-driven research to enhance atmospheric analytics.
Specialized training in atmospheric sciences with immersion in operational meteorology workflows.
Comprehensive mathematics education underpinning analytical rigor across meteorology and data science.
Staying at the frontier of climate policy, AI governance, and cloud-native intelligence.
Documenting the integration of surveillance data and meteorological services to elevate aviation safety.
Investigates how ADS-B surveillance datasets enhance situational awareness, enabling more responsive weather advisories and flight operations support.
Intersecting expertise across aviation, data analytics, and climate-conscious investing.
Multilingual communicator across Greater China and international environments.
Showcase pivotal missions, on-site meteorological work, or climate outreach. Replace the gradients with your visuals by setting the --media-image property.
Let’s collaborate on weather-smart systems, climate-conscious initiatives, or data-led transformation projects.