Summary
Matias Quintana is a Postdoctoral Researcher and module coordinator based in Singapore with nine years of experience building applied machine learning and urban analytics solutions for sustainable cities. He has led an international team on a SGD1M multimodal data project at the Singapore-ETH Centre, delivering computer vision and time-series forecasting models while doubling KPI targets across software, datasets and stakeholder engagement. With a PhD from NUS and hands-on roles at ETH Zürich, CMU and NUS, he bridges rigorous research (26 peer-reviewed publications) with product-focused ML deployments and cloud/scientific computing infrastructure. He also teaches and mentors—creating a GeoAI undergraduate course from scratch and advising student theses—bringing pedagogy into research-led practice. Comfortable across remote sensing, IoT, wearables and GenAI, he frequently translates complex urban sensing into actionable tools for public and private partners. A less obvious strength is his track record of combining low-level hardware prototyping (embedded meters and wearables) with large-scale ML, enabling end-to-end solutions from sensor to insight.
9 years of coding experience