Liberal Arts and Sciences
BingKan Xue Lab
Led by BingKan Xue · Physics
What we study
The Xue Lab studies how organisms adapt to environments using physics methods like statistical physics and machine learning. They explore how general principles explain biological behavior across different species.
What working here is like
- Computational
- Reading, writing & theory
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Modeling and inferring metacommunity dynamics with Maximum Caliber
2026 · Proceedings of the National Academy of Sciences
Uses statistical physics to model ecological systems and infer their parameters from data.
- Dynamic Trait Distribution as a Source for Shifts in Interaction Strength and Population Density
2024 · The American Naturalist
Examines how trait variations in species affect their interactions and population sizes.
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- Crosstalk enables mutual activation of coupled quorum sensing pathways through “jump-start” and “push-start” mechanisms
2023 · Scientific Reports
Explores how crosstalk between quorum sensing pathways affects bacterial signaling.
- A theoretical perspective on Waddington’s genetic assimilation experiments
2023 · Proceedings of the National Academy of Sciences
Revisits Waddington's genetic assimilation experiments and models the process theoretically.
- Robust Retrieval of Dynamic Sequences through Interaction Modulation
2023 · PRX Life
Proposes a new way to control biological systems by adjusting their interactions.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
BingKan Xue hasn't set up this page yet. Their UF Scholars profile lists their publications.