AI and Social Systems Program by Stanford Alumni
Inspirit Innovator’s Research Mentorship Program is a mentored-research program taught by Stanford and MIT AI researchers that exposes students to modern AI tools and techniques, and guides them to apply them to projects such as uncovering patterns in social networks using graph theory and machine learning.Applications for summer are due May 31st.
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STUDENTS!
Earn Extra Money working with Math Boot Camp!
When: Between Spring and Summer semesters!
April/May, 2025
For more information, Click HERE!
Interested? Fill out the form!
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More Undergraduate and Graduate Student Opportunities
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The Department of Mathematics and Statistics has an internationally recognized research faculty active in the following areas:
Rings, modules, groups and their representations; applications to combinatorial designs and cryptology, computational algebra
Harmonic analysis, function and operator theory and their interactions; Sobolev inequalities; inequalities involving the Fourier transform; operators on Banach spaces; ordinary and partial differential equations; stochastic differential systems; vortex and climate dynamics with applications to climatic and financial markets
Enumerative and algebraic combinatorics; graph theory; design theory and applications; finite projective planes and their automorphisms; finite geometries, and Euclidean geometry
Post quantum cryptography, in particular code-based cryptography, elliptic curve cryptography (isogenies), lattice-based cryptography, multivariate cryptography, zero-knowledge proofs and blockchains, hash-based cryptography.
Nonlinear dynamical systems, computational topological methods, complex dynamical systems, fractal geometry, mathematical theory of control systems, stability analysis
Constructive mathematics; set theory; higher computability
Multi-host multi-strain epidemiological models, host immune response, nested immuno-epidemiological dynamics, spatial temporal dynamics in epidemiology, reaction diffusion systems, cell motility, time-since-infection structured partial differential equations, age structured pde's, avian influenza, Ebola
Time-series analysis and regression modeling; parametric and nonparametric function estimation; weak convergence of stochastic processes; environmental statistics and biostatistics
Technology in the classroom, integrated curricula, improving performance for pre-calculus mathematics and in mathematics for engineering students
