School of Mathematics and Statistics
School of
Mathematics and Statistics
Overview
The School of Mathematics and Statistics is recognized for its contributions to research and applications of mathematical and statistical science, and it’s also known for expertise in mathematical and computational modeling, data science, and scientific inference. Since mathematics is at the root of many social, technical, medical, and environmental issues faced by society today, we equip our graduates with a deep understanding of mathematical and statistical principles, tools to apply those skills to real-world problems, and the ability to express complex ideas in everyday language. We provide our students with research and experiential learning opportunities and nurture curiosity and creativity.
1st
Mathematical modeling Ph.D. program in the nation
3:1
Student-to-faculty ratio
2
NSF Funded Research Experiences for Undergraduates (REU) Programs
Latest News
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October 30, 2024
![two students in orange tshirts are shown at a table with paper and a pencil in front of them. One student is actively showing the other how to do a math problem.]()
Saturday Math Academy offers extra help
The program is a supplemental instruction session offered to all RIT students looking for one-on-one help for introductory math courses. The program aims to boost mathematics understanding across campus since all students must take a math course to complete their degrees.
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September 30, 2024
![Nourridine Siewe is shown in a headshot]()
RIT’s Siewe receives award for mathematical modeling research linking obesity and diabetes
RIT Assistant Professor Nourridine Siewe has received a $500,000 National Institute of General Medical Sciences Support for Research Excellence – First Award for his work in mathematical models of obesity-induced Type 2 Diabetes Mellitus and chronic wound healing.
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September 9, 2024
![a student in a blue long sleeve shirt writes a math equation on a whiteboard.]()
Universitywide effort hopes to improve math readiness and success for incoming students
RIT is making strides to better prepare first-year students for math coursework through the implementation of a revamped math placement examination. The new exam helps determine areas of strength and those requiring additional attention, focusing on tackling individual students’ gaps in learning.
Research
Current research in the unit involves developing mathematical frameworks to discern properties of a system by working backward from known effects. Application areas include medicine, engineering, finance, earth science and imaging and the focus is on investigating the impact of uncertainty in data, identification of cancer in soft tissues, estimation of material properties, identification of market volatility, and developing fast and reliable methods for large scale computational optimization.
Research Active Faculty:
Current work in the unit includes research and consulting in biostatistics, machine learning, data science, predictive analytics, signals processing, statistical education, and statistical/scientific inference with applications to biology, astrophysics, and engineering.
Research Active Faculty:
Current research in the unit involves developing improved mathematical models of physiological systems; gaining new insights into mechanisms of physiological behavior; improving techniques for diagnosing and treating diseases; and devising advanced algorithms for analyzing physiological measurements.
Research Active Faculty:
Current work in the unit involves developing graph-based models of the brain to study the impact of concussions, improving and developing new graph-based algorithms for hyper-spectral image analysis, applying the growing concepts of complex network analysis to domain-based scientific problems, and applying algebraic techniques and methods to problems in cybersecurity.
Research Active Faculty:
Current work in the unit involves applying mathematical techniques of nonlinear dynamical systems to problems in fluid dynamics, climate modeling, population modeling, cell signaling dynamics, and more; developing mathematical models of thin film and interfacial flows with application to biological fluids, micro-fluidics devices, and industrial coating processes; gaining insights that lead to better prediction of hydrodynamic instabilities, such as turbulence, liquid fuel atomization, and liquid film breakup; devising novel computational methods to simulate fluid transport phenomena; and improving the current understanding of polymer flows and viscoelastic fluids.
Research Active Faculty:
Current work in the unit includes applications of differential geometry, numerical solutions of partial differential equations, and statistical inference to problems related to general relativity and celestial mechanics. Einstein's general theory of relativity is studied as a description of the geometry of spacetime. Advanced numerical and computational techniques are used to solve the coupled, nonlinear, system of PDEs of General Relativity and Magneto-Hydrodynamics. As part of the LIGO Scientific Collaboration, SMS faculty and researchers use statistical signal processing techniques to search for, identify and characterize gravitational-wave signals from astrophysical systems.
Research Active Faculty:
Current work in the unit involves developing new mathematical techniques to study problems of geophysical fluid dynamics, climate modeling, extreme weather, coastal and natural hazards, and other complex systems arising in the study of Earth and environmental systems.
Research Active Faculty:
RIT faculty conduct observational and theoretical research across a wide range of topics in multi-messenger and multi-wavelength astrophysics, utilizing a combination of observations spanning the electromagnetic spectrum, data from gravitational wave detectors, and supercomputer simulations. Current areas of research include numerical relativity and relativistic magnetohydrodynamics, gravitational wave data analysis, compact object binaries, accretion disks and jets, supernovae, and pulsars. RIT is a member of the Large Synoptic Survey Telescope Corporation and faculty are involved in several major collaborations including the Laser Interferometer Gravitational Wave Observatory Scientific Collaboration, the NANOGrav Pulsar Timing Array Consortium and the Laser Interferometer Space Antenna.
Research Centers:
Center for Computational Relativity and Gravitation
Research Active Faculty:
Featured Work and Profiles
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![headshot of Rachele Johnson]()
Equations to Operations: From Math Major to Leadership
Rachele Johnson ’12 transformed her love of applied math into a thriving career in operations, leading a team at Goldman Sachs using knowledge gained from RIT's challenging, hands-on programs.
Read More about Equations to Operations: From Math Major to Leadership -
![photo of Angela and Anita]()
Machine Learning Meets Law Enforcement in RIT Research Project
Angela and Anita Srbinovski (computer science and math minor) RIT twins Angela and Anita Srbinovski join a $1M study using statistical machine learning to analyze police body-camera footage to help improve officer training.
Read More about Machine Learning Meets Law Enforcement in RIT Research Project -
![Joseph Casale will be returning to Malaysia to work in machine learning as a Fulbright scholar.]()
2024 Fulbright Scholar: Joseph Casale
Casale, a double major in computational mathematics and computer science, will travel back to Malaysia to analyze aerial hyperspectral imagery to map trees species in Taman Negara...
Read More about 2024 Fulbright Scholar: Joseph Casale -
![Nidhi Baindur - RIT’s second recipient of the Newman Civic Fellowship.]()
A Beacon of Public Leadership at RIT Wins Newman Civic Fellowship
Student Nidhi Baindur was awarded a Newman Civic Fellowship for her role as a change-maker and public problem-solver at RIT.
Read More about A Beacon of Public Leadership at RIT Wins Newman Civic Fellowship -
![headshot of David Longo]()
Artificial Intelligence, Mathematics, and Designing Mini Protein Drugs
David Longo ’10, CEO of Ordaōs, shares his experience at RIT and explains how computational mathematics allowed him to think outside the box to come up with advanced solutions.
Read More about Artificial Intelligence, Mathematics, and Designing Mini Protein Drugs -
![Tyler Godat with his wife]()
Explore Undergraduate Research, Discover a Passion, Land a Career
Tyler Godat ’16 chose RIT because of its reputation for undergraduate research, co-ops, and internships. Now, he is an optical measurements engineer at Corning.
Read More about Explore Undergraduate Research, Discover a Passion, Land a Career
Undergraduate Programs
The School of Mathematics and Statistics provides a solid collegiate math education to every RIT undergraduate and offers high-level specializations such as statistical forecasting, digital encryption, and mathematical modeling. We prepare our graduates to be successful, whether they choose immediate employment upon graduation or to attend graduate school in pursuit of advanced degrees.
Graduate Programs
The School of Mathematics and Statistics equips its graduates with a deep understanding of math principles, a toolbox for applying those skills to real-world problems, and the ability to easily express complex ideas. Our graduate programs introduce students to rigorous advanced applied mathematical and statistical methodology. Students realize the potential for that cutting-edge methodology as a general tool in the study of exciting problems in science, business, and industry.
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