
Explore cell-state dynamics through high-resolution lineage tracking, uncovering insights into cancer progression and potential treatment approaches in this theoretical biology lecture.

Explore decision-making processes in individual cancer cells, examining factors influencing cell survival and death. Gain insights into cellular behavior and its implications for cancer progression and treatment.

Explore decision-making processes in individual cancer cells, examining the interplay between randomness and determinism in cellular behavior and its implications for cancer progression.

Explore symmetrized six-vertex model, hourglass plabic graphs, and their applications in statistical mechanics and combinatorics. Discover connections to tableaux, alternating sign matrices, and plane partitions.

Explore the concentration of augmented hives in sums of random Hermitian matrices, using GUE ensemble eigenvalues and analyzing asymptotic behavior as eigenvalue count increases.

Explore the intersection of enumerative geometry and special functions, discovering new interpretations and generalizations of historical mathematical concepts in modern research.

Explore the interplay between enumerative geometry and special functions, connecting historical mathematical concepts with modern research in geometry and number theory.

Comprehensive overview of physical measurements, covering units, quantities, and tools. Explores fundamental concepts crucial for physics and related sciences, preparing students for various exams.

Explore recent advances in quantum gravity, including "random matrix" models for spacetime emergence, and their implications for understanding black holes and the universe's origins.

Explore connections between web bases, quantum groups, and lattice models. Discover new combinatorial frameworks linking alternating sign matrices, plane partitions, and the Tamari lattice.

Explore the Fermi sea's topology, its quantized responses, and correlation functions. Discover how topological invariants manifest in entanglement and distinguish Fermi liquid phases.

Explore topological gapped phases in twisted bilayers through mass-spring systems, revealing Hofstadter-like spectra and novel quantized effects in non-commutative geometry.

Explore universal randomness in quantum dynamics, deep thermalization, and Hilbert-space ergodicity. Learn about applications in quantum information theory and experimental observations.

Explore a mathematical approach to the Monopolist's problem using perturbation theory and free boundary methods, offering insights into economic optimization strategies.

Explore how mathematical models and interdisciplinary approaches can enhance our understanding of cancer progression, metastasis, and treatment resistance, potentially leading to new therapeutic strategies.

Explore integrable vertex models, their applications to random growth and particle systems, and connections to random tilings and symmetric functions in this advanced mathematics lecture.

Explore discrete integrable systems with Sanjay Ramassamy, covering fundamental concepts and applications in geometry and statistical mechanics. Gain insights into this advanced mathematical field.

Explore integrable vertex models, their applications in random growth and particle systems, and connections to random tilings and symmetric functions in this advanced mathematics lecture.

Explore s-embeddings and discrete maximal Lorentz surfaces in this advanced mathematics talk, focusing on isothermic surfaces, mean curvature, and associated families in discrete geometry.

Explore dimer models on Riemann surfaces, height function convergence, and connections to compactified free fields. Gain insights into probabilistic methods and discrete complex analysis in statistical mechanics.

Explore local weak convergence in random constraint satisfaction problems with Princeton's Allan Sly, delving into advanced statistical mechanics concepts beyond two dimensions.