Chris Monico

Chris Monico is an Associate Professor in the Department of Mathematics & Statistics at Texas Tech University. He has been a faculty member there since 2003, following post-doctoral research at the University of Notre Dame.

Education

• B.S. in Mathematics – Monmouth University
• M.S. in Mathematics – University of Notre Dame
• Ph.D. in Mathematics – University of Notre Dame

Research Focus

Monico’s scholarship centers on the intersection of cryptology, computational algebra, and number theory. A significant recent thrust has been the application of machine-learning techniques to mathematical finance, evidenced by work on random-forest models for option pricing and high-frequency trading risk metrics. Parallel lines of inquiry include post-quantum cryptographic schemes built on tropical algebra and semigroup actions, as well as classical problems in Ramsey theory and combinatorial semigroups.

Publication Trends

Between 2015 and 2025 Monico has published prolifically, with a clear shift around 2020 toward mathematical finance and machine-learning applications, alongside continued output in algebraic cryptanalysis and combinatorics. His 2024–2025 articles emphasize data-driven models in trading, whereas 2020–2021 works concentrate on cryptanalyses of tropical and group-based key-exchange systems. Earlier contributions focus on computational number theory and semigroup-based cryptography.

Contact Information

• Email: c.monico@ttu.edu
• Phone: 806-834-4144
• Office: Department of Mathematics & Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, TX 79409-1042

Advising & Grants

No specific doctoral or master’s students, funded grants, or named awards are detailed in the provided text.

Laboratory or Research Group

The text does not mention any dedicated laboratory or research group.