Lucia Carichino Headshot

Lucia Carichino

Assistant Professor

School of Mathematics and Statistics
College of Science

585-475-2537
Office Hours
By appointment via email
Office Location
Office Mailing Address
School of Mathematics and Statistics, 85 Lomb Memorial Drive, Rochester, NY 14623

Lucia Carichino

Assistant Professor

School of Mathematics and Statistics
College of Science

Education

PhD, Mathematics, Purdue University; BS, MS, Mathematical Engineering, (Italy)

Bio

Before joining RIT, I was a Postdoctoral Scholar at Worcester Polytechnic Institute. I earned a Bachelor’s and Master’s Degree in Mathematical Engineering from Politecnico di Milano in Italy, and a PhD in Mathematics from Purdue University.

The focus of my research is on mathematical and computational models of multiscale biological systems including fluid-structure interaction. I am excited by the potential of using mathematical models that describe the physical phenomena governing biological systems in synergy with experimental data to elucidate the mechanisms behind a biological process, ultimately aiding the future development of medicine. I enjoy teaching, I strive to establish a classroom environment where the students are challenged to ask questions and share ideas without the concern of making mistakes.

585-475-2537

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Areas of Expertise

Select Scholarship

Invited Paper
Carichino, Lucia, et al. "Gene Therapy Bio-factory: Mathematical Modeling of the Human Eye Pharmacokinetics." n: Applied Mathematical Analysis and Computations II. SGMC 2021., Springer Proceedings in Mathematics & Statistics, Cham. Vol. 472, p. 47-64. (2024). Print.

Currently Teaching

MATH-231
3 Credits
This course is an introduction to the study of ordinary differential equations and their applications. Topics include solutions to first order equations and linear second order equations, method of undetermined coefficients, variation of parameters, linear independence and the Wronskian, vibrating systems, and Laplace transforms.
MATH-495
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-790
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.