The Las Vegas Institute of Probability Theory is a world-leading research institution dedicated to pioneering advances in stochastic processes, statistical modeling, and probabilistic methods for complex systems.
Explore Our ProgramsEstablished in 2026, our institute brings together leading mathematicians, statisticians, and data scientists to solve complex probabilistic challenges.
The Las Vegas Institute of Probability Theory represents a new paradigm in mathematical research, combining theoretical rigor with practical applications in finance, artificial intelligence, quantum computing, and complex systems analysis.
Join us October 15-18, 2026 for the premier global gathering of probability theorists, featuring keynote speakers from leading institutions worldwide.
Conference DetailsOur interdisciplinary research spans fundamental theory and applied probability across diverse domains.
Advanced research in Itô calculus, Malliavin calculus, and stochastic differential equations with applications to mathematical finance and physics.
Bayesian methods, nonparametric statistics, and high-dimensional inference for complex data structures and machine learning applications.
Spectra of large random matrices with applications to quantum chaos, wireless communications, and big data analytics.
Modeling rare events and tail behavior in financial markets, climate science, and risk management applications.
Non-commutative probability and quantum stochastic processes for quantum computing and quantum information theory.
Advanced simulation techniques, Markov chain Monte Carlo, and sequential Monte Carlo for complex probabilistic models.
Our faculty includes recipients of prestigious awards and leaders in their respective fields.
Formerly at MIT, Dr. Rodriguez specializes in stochastic partial differential equations and their applications to fluid dynamics.
Recipient of the 2025 Savage Award for contributions to Bayesian nonparametrics and machine learning.
Pioneering work in quantum stochastic processes and their applications to quantum computing architectures.
We offer rigorous graduate programs designed to train the next generation of probability theorists and data scientists.
A rigorous doctoral program focused on original research in stochastic processes, limit theorems, and probabilistic methods.
Advanced training in statistical theory, Bayesian methods, and data analysis with applications across scientific domains.
Two-year research positions for recent PhDs to pursue independent research in collaboration with institute faculty.
Orientation for new graduate students and beginning of fall semester classes.
Annual conference on stochastic analysis featuring keynote speakers from around the world.
Deadline for applications to the Ph.D. program in Probability Theory for Fall 2027.
Join our seminars, workshops, and conferences to engage with the latest research in probability theory.
Three-day intensive workshop on optimal control of stochastic systems with applications to finance and engineering.
Speaker: Dr. Robert Tanaka, University of Tokyo
Graduate-level introduction to modern Bayesian methods, computation, and applications across disciplines.
Instructors: Dr. Maria Silva & Dr. James Wilson
Our flagship conference featuring plenary talks, parallel sessions, and poster presentations from leading researchers worldwide.
Location: Institute Main Campus
One-day colloquium featuring talks on recent breakthroughs in probability theory and its applications.
Keynote: Prof. Sarah Johnson, Fields Medalist
Selected publications from our faculty and researchers in 2026.
Annals of Probability, 54(3), 1125-1180.
Journal of the Royal Statistical Society: Series B, 88(2), 345-372.
Quantum Probability and Related Topics, 21(1), 45-89.
Finance and Stochastics, 30(2), 223-267.
We collaborate with leading institutions and industry partners worldwide.
Get in touch with our administration, faculty, or research groups.
Las Vegas Institute of Probability Theory
4500 Research Drive, Las Vegas, NV 89154
General Inquiries: [email protected]
Admissions: [email protected]
Main Office: (702) 555-1234
Admissions: (702) 555-5678