Track 1 · Decoding Complexity
Plant Growth
Dynamics
Translating biological complexity into efficient numerical models
Translating biology into numerical models
We convert biological complexity — such as energy-use dynamics and input resource efficiency — into high-efficiency numerical models through dimensionality reduction, building the backbone of accurate growth simulators. This methodological approach bridges the gap between raw biological data and computationally tractable growth predictions.
Research Topics
Three interconnected pillars that drive our understanding of plant growth dynamics and energy-use efficiency.
Light Quality
Spectral Tuning
Photoreceptors
Light Recipe
Photosynthetic
Physiology
Light Response
Photoinhibition
Gas Exchange
Leaf Temperature
& Evapotranspiration
Stomatal Dynamics
Evapotranspiration
Energy Balance