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Complex systems from microbiome to AI often exhibit surprising simplicity despite their high-dimensionality. By bridging empirical observations and minimal models through their latent dynamics, I decipher the origin of emergent simplicity of biological systems and AI.Â
Below, I describe three ongoing projects. For my past work, please check my google scholar.
Emergent simplicity
from metabolic interactions
in microbial communities
Emergent simplicity
from metabolic interactions
in microbial communities
Evolution of ecological interactions
in the latent space
Flowscape of
biological fates
Flowscape of
biological fates
Thermodynamics of decision making
and collective proofreading
Emergent simplicity in
artificial intelligence
Emergent simplicity in
artificial intelligence
Emergent 1/3-scaling law and
thermodynamic phase transition in AI
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