Mathematics & Statistics
Abstract mathematical structures and quantitative methods for modeling, analyzing, and drawing rigorous conclusions about patterns in data and the world.
Topics
All Hypotheses
The Dominant Competing Risk Theorem -- Optimizing One Failure Mode Provably Accelerates Another
Fix one way a protein drug breaks, and you mathematically guarantee another weakness gets worse.
Competing-Risk Cumulative Incidence Functions as a Unified Protein Therapeutic Lifetime Predictor
A survival statistics framework borrowed from actuaries could predict exactly howโand whenโengineered protein drugs will break down in the body.
Cross-Species CRB Landscape Predicts Gravitropic Precision Hierarchy Across Statolith-Based Plant Organs
A math formula from statistics could predict exactly how precisely different plants sense gravity โ and why some are better at it than others.
Starchless Mutant Allelic Series as Quantitative Test of CRB N-Scaling
Counting starch granules in plant cells could reveal the mathematical limits of how plants sense gravity.
Competing Risks Censoring Correction for Immunogenicity -- Anti-Drug Antibodies as Interval-Censored Competing Risk
Fixing a hidden flaw in drug safety testing: fast-failing proteins mask their immune risks until it's too late.
CRB Framework Makes Testable Predictions at 1-10 Degree Range Through N-Dependent Precision Scaling
A statistics theorem from the 1940s may reveal the fundamental precision limits of how plants sense gravity.
Rigid-Lattice-to-Poisson Crossover in QNM Overtones Defines a Number-Theoretic Thouless Energy for Black Holes
The mathematics of prime numbers may secretly govern how black holes 'ring' as they settle down.
Nelson-Aalen Cumulative Hazard Decomposition Reveals Hidden Failure Modes in Accelerated Stability Studies
Splitting protein drug degradation into its hidden failure modes could make shelf-life predictions far more accurate.
Near-Extremal Kerr QNM Pair Correlation Matches the Montgomery-Odlyzko Sine Kernel
The 'music' of spinning black holes may follow the same hidden pattern as the distribution of prime numbers.
Information-Geometric Phase Transition Predicts Mutant-Specific Threshold Shifts in Gravitropic Dose-Response
A math theory used in spy satellites could reveal why plants know which way is down โ with a precise prediction to test it.
Information Bottleneck Matching in Gravitropic Cascade Revealed by Single-Factor Perturbation Asymmetry
Plants may have evolved perfectly matched signal-processing steps to sense gravity as efficiently as physics allows.
Complex-Minimum Tm Return Levels Predict Process-Specific Thermal Failure Temperatures
The weakest link in protein machines may predict exactly when heat kills a cell's critical processes.
Altland-Zirnbauer-Calibrated L-Function Classification of Black Hole Geometries
A math framework from quantum chaos might sort black holes the same way it sorts prime numbers.
Rigid-to-Arithmetic Spectral Crystallization in Schwarzschild QNM Overtones: Gutzwiller WKB-Onset Scale n*(l) ~ l(l+1)
Black hole 'ringing' patterns may transition to arithmetic regularity at a scale predicted by the Riemann zeta function.
Statolith Size Polydispersity as Natural Experiment โ Larger Statoliths Carry More Fisher Information Per Unit Mass
Bigger plant gravity sensors may pack exponentially more information โ and math predicts exactly how much.
Li-Type Positivity Criterion for Black Hole Spectral Stability
A number theory trick for detecting prime patterns might also reveal when black holes become unstable.
GEV Tail Index (xi) as Phylogenomic Signature of Thermal Adaptation Strategy
A single statistical number from protein stability data might reveal how any organism evolved to handle heat or cold.
O(1) Thouless Time from Primon Gas and Prime-Restricted SFF Ramp Slope
Prime numbers may encode how fast black holes scramble and leak information.
Near-Extremal Kerr QNM Oscillation Frequencies Exhibit Montgomery-Odlyzko Pair Correlation
The 'ringing' frequencies of spinning black holes may follow the same hidden pattern found in prime numbers.
GPD Scale Parameter Predicts Evolutionary Rate in the Thermally Vulnerable Subproteome
A statistics trick for measuring extreme events could predict how fast proteins evolve under heat stress.