
Explore computational mathematics at the intersection of dynamics, geometry, and algebra, focusing on geometric numerical integration and structure-preserving discretization of differential equations.

Explore statistical methods for cancer risk prediction models, focusing on Bayesian approaches and applications to Li-Fraumeni syndrome and personalized risk assessment for cancer survivors.

Explore multiple testing methods for biomedical problems, covering low and high-dimensional scenarios. Learn optimization techniques, hypothesis testing, and power analysis through practical examples.

Explore Bayesian inference techniques for analyzing dependent population dynamics in coalescent models, focusing on applications in genomics and evolutionary biology.

Explore causal discovery and representation learning in machine learning for drug discovery with Jason Hartford's insightful presentation.

Explore geometry and 3D symmetries in machine learning for drug discovery, covering key concepts like tensor products and network equivalence.

Explore graph rewriting techniques for studying topological invariants in finite lattice systems and their applications to physical phenomena.

Explore the recreation of the Beresheet Lunar Crash using telemetry data and rocket equations to model and predict landing locations in Mare Serenitatis.

Explore fundamental limits of causal effect estimation in observational data, examining personalized effects, non-smooth settings, and discrete scenarios without assuming prior causal inference knowledge.

Insights from JFM Editor-in-Chief on fluid mechanics research, publishing strategies, and career advice. Discusses mathematical tools, favorite papers, and the journal's commitment to scientific excellence and inclusivity.

Explore the intricate topology of the 2-loop amplituhedron, delving into advanced concepts in theoretical physics and mathematical structures.

Explore exponential networks and Donaldson-Thomas invariants in this advanced mathematics lecture, delving into complex algebraic structures and topological insights.

Explore the connection between AGT Conjecture and Cohomological Hall Algebras in this advanced mathematical lecture by Francesco Sala, delving into complex algebraic structures and their applications.

Explore equivariant quantum volumes and symplectic cuts in this advanced mathematics lecture, delving into complex geometric concepts and their applications.

Explore reduced Gromov-Witten invariants, their mathematical foundations, and applications in algebraic geometry and theoretical physics.

Explore BPS spectra and quantum invariants in theoretical physics, delving into advanced mathematical concepts and their applications in modern quantum theory.

Explore BPS spectra and quantum invariants in theoretical physics, delving into advanced mathematical concepts and their applications in modern quantum theory.

Explore advanced concepts in quiver theory and cohomological Hall algebras, delving into complex mathematical structures and their applications in algebraic geometry.

Explore advanced concepts in quiver theory and cohomological Hall algebras, delving into their intricate connections and applications in algebraic geometry and representation theory.

Explore quantum modularity's role in computing Stokes constants, delving into advanced mathematical concepts and their applications in theoretical physics.

Explore connections between modular bootstrap techniques and the Riemann zeta function's zeros, delving into mathematical physics and number theory.