Yiluan Song

Schmidt AI in Science Fellow

Michigan Institute for Data Science

I graduated from the National University of Singapore in 2016 with a Bachelor of Science in Life Sciences, specializing in Environmental Biology. I am currently a final-year ….and a visiting Ph.D. student in the School for Environment and Sustainability at the University of Michigan.

I am interested in conducting interdisciplinary research in vegetation responses to global changes using big data and quantitative methods. My PhD dissertation is focused on the interactions between climate change, plant phenology, and human society. Some of the highlights include a theoretical framework for changing ecological synchrony, a systematic quantification of phenological mismatch, characterization of pollen phenology using high-resolution remote sensing, and public perception of phenology on social media. In my postdoctoral research, I seek to develop a Bayesian process-guided machine learning framework to project changes in phenology under global changes, informing both near-term forecasting and long-term projections.

  • AI Mentor: Yang Chen, Statistics, LSA
  • Science Mentor: Kai Zhu, Environment and Sustainability, School of Environment and Sustainability
  • Research Theme: Projecting nature’s calendar under climate change