Lauren H. Li

ORCID: 0000-0002-1128-4913
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About
Contact & Profiles
Research Areas
  • Evolutionary Game Theory and Cooperation
  • Evolution and Genetic Dynamics
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Single-cell and spatial transcriptomics
  • Quantum Information and Cryptography
  • CRISPR and Genetic Engineering
  • Quantum and electron transport phenomena
  • Hemoglobin structure and function
  • Quantum chaos and dynamical systems
  • Cancer Genomics and Diagnostics
  • Physics of Superconductivity and Magnetism
  • Molecular spectroscopy and chirality

Massachusetts Institute of Technology
2022-2023

Dana-Farber Cancer Institute
2019

Harvard University
2019

Boston Children's Hospital
2019

Broad Institute
2019

The microscopic description of 1/f magnetic flux noise in superconducting circuits has remained an open question for several decades despite extensive experimental and theoretical investigation. Recent progress devices quantum information highlighted the need to mitigate sources qubit decoherence, driving a renewed interest understanding underlying mechanism(s). Though consensus emerged attributing surface spins, their identity interaction mechanisms remain unclear, prompting further study....

10.1103/physrevlett.130.220602 article EN Physical Review Letters 2023-05-31

We consider the entanglement dynamics of a subsystem initialized in pure state at high energy density (corresponding to negative temperature) and coupled cold bath. The subsystem's R\'enyi entropies $S_\alpha$ first rise as gets entangled with bath then fall cools. find that peak min-entropy, $\lim_{\alpha \to \infty} S_\alpha$, sharpens cusp thermodynamic limit, well-defined time we call Page time. construct hydrodynamic ansatz for evolution Hamiltonian, which accounts sharp transition well...

10.48550/arxiv.2502.03524 preprint EN arXiv (Cornell University) 2025-02-05

As a population grows, spreading to new environments may favor specialization. In this paper, we introduce and explore model for specialization at the front of colony expanding synchronously into territory. We show through numerical simulations that, by gaining fitness accumulating mutations, progeny initial seed can differentiate distinct specialists. With competition selection limited growth front, emerging specialists first segregate sectors, which then expand dominate entire population....

10.1103/physreve.108.l032402 article EN Physical review. E 2023-09-13

As a population grows, spreading to new environments may favor specialization. In this paper, we introduce and explore model for specialization at the front of colony expanding synchronously into territory. We show through numerical simulations that, by gaining fitness accumulating mutations, progeny initial seed can differentiate distinct specialists. With competition selection limited growth front, emerging specialists first segregate sectors, which then expand dominate entire population....

10.48550/arxiv.2210.05531 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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