Mary Lynn Reed Headshot

Mary Lynn Reed

Professor

School of Mathematics and Statistics
College of Science
mlrsma@rit.edu
585-475-2163
Office Hours
Tues 3:00-4:00pm; Thurs 2:00-3:00pm; plus one additional "pop-up" hour per week, announced in MyCourses
Office Location
HLC-2530

Mary Lynn Reed

Professor

School of Mathematics and Statistics
College of Science

Education

BS, Georgia Institute of Technology; MFA, University of Maryland; MS, PhD, University of Illinois

Bio

Dr. Mary Lynn Reed holds a Ph.D. in Mathematics from the University of Illinois, a B.S. in Applied Mathematics from the Georgia Institute of Technology, and an M.F.A. in Creative Writing from the University of Maryland. Dr. Reed's research background and interests include applications of algebraic structures, statistical modeling, computational mathematics. She is currently focused on questions related to the mathematics of simulation and randomness.

Dr. Reed is an affiliate faculty member with RIT’s ESL Global Cybersecurity Institute. Dr. Reed also serves on the Board of Trustees for the Institute for Defense Analyses (IDA). IDA is a nonprofit corporation that operates three federally funded research and development centers in the public interest. Before arriving at RIT, Dr. Reed served as the chief of mathematics research at the National Security Agency.

Dr. Reed has received a variety of honors and awards throughout her career, including: the Presidential Rank Award of Meritorious Senior Professional, the NSA Director’s Distinguished Service Medal, the NSA Louis W. Tordella Award, the NSA Director's Team Excellence Award, the NSA Gold Bug Team Award for excellence in cryptanalysis, the University of Illinois Department of Mathematics Alumni Award for Outstanding Professional Achievement, the University of Illinois College of Liberal Arts and Sciences Alumni Achievement Award, and the University of Illinois Mathematics Department Outstanding Teaching Award. As an early career faculty member, she was a Mathematical Association of America Project NExT (New Experiences in Teaching) Fellow. Dr. Reed is also a past-President and Distinguished Member of the Crypto-Mathematics Institute, NSA's oldest professional society.

mlrsma@rit.edu
585-475-2163
Areas of Expertise
Abstract Algebra
Network Science
Statistical Modeling
Cryptography
Mathematics of Communications Technology
Cybersecurity
Mathematical Modeling

Currently Teaching

MATH-301
Mathematics of Simulation and Randomness
3 Credits
This course is an introduction to mathematical techniques and algorithms for (pseudo-)random number generation and simulation. Randomness and simulation are major tools used in mathematical modeling, statistical and data analysis, computing, and engineering. This course will provide both a solid mathematical foundation in these topics and computational experience utilizing them in practice.
MATH-367
Codes and Ciphers
3 Credits
This course will introduce, explain and employ both the classical and modern basic techniques of cryptography. Topics will include the Vignère cipher, affine ciphers, Hill ciphers, one-time pad encryption, Enigma, public key encryption schemes (RSA, Diffie-Hellman, El-Gamal, elliptic curves), and hash functions. The course will include an introduction to algebraic structures and number theoretic tools used in cryptography.
MATH-441
Abstract Algebra I
3 Credits
This course covers basic set theory, number theory, groups, subgroups, cyclic and permutation groups, Lagrange and Sylow theorems, quotient groups, and isomorphism theorems. Group Theory finds applications in other scientific disciplines like physics and chemistry.
MATH-495
Undergraduate Research in Mathematical Sciences
1 - 3 Credits
This course is a faculty-directed project that could be considered original in nature. The level of work is appropriate for students in their final two years of undergraduate study.
MATH-498
Independent Study in Mathematical Sciences
1 - 3 Credits
This course is a faculty-guided investigation into appropriate topics that are not part of the curriculum.
MATH-799
MATH GRADUATE Independent Study
1 - 3 Credits
Independent Study
STAT-335
Introduction to Time Series
3 Credits
This course is a study of the modeling and forecasting of time series. Topics include ARMA and ARIMA models, autocorrelation function, partial autocorrelation function, detrending, residual analysis, graphical methods, and diagnostics. A statistical software package is used for data analysis.

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