Overview
My research is in mathematical biology, and I am particularly interested in tackling questions about protein transport and organization in cells using mathematical and computational tools. Understanding how proteins move and organize inside cells is a fundamental question in cell and developmental biology, with implications to how cells function in a healthy way and how organisms properly develop.
I use mathematical modeling, analysis, and simulation to address questions about molecular-motor driven transport and protein filament organization. I build and use techniques from dynamical systems and partial differential equations, stochastic processes, and data analysis. I collaborate with experimental researchers on problems related to messenger RNA transport in developing oocytes and neuronal cells, actin-myosin protein interactions, and organization of microtubule filaments in neuronal dendrites. This leads to interesting questions about building stochastic and continuous models for these processes, about parameter estimation and identifiability based on limited experimental data, and about appropriate measures for analyzing complex simulated and experimental datasets.
Up-to-date information about my research can be found here: https://services.math.duke.edu/~ciocanel/.
I use mathematical modeling, analysis, and simulation to address questions about molecular-motor driven transport and protein filament organization. I build and use techniques from dynamical systems and partial differential equations, stochastic processes, and data analysis. I collaborate with experimental researchers on problems related to messenger RNA transport in developing oocytes and neuronal cells, actin-myosin protein interactions, and organization of microtubule filaments in neuronal dendrites. This leads to interesting questions about building stochastic and continuous models for these processes, about parameter estimation and identifiability based on limited experimental data, and about appropriate measures for analyzing complex simulated and experimental datasets.
Up-to-date information about my research can be found here: https://services.math.duke.edu/~ciocanel/.
Current Appointments & Affiliations
Assistant Professor of Mathematics
·
2020 - Present
Mathematics,
Trinity College of Arts & Sciences
Assistant Professor of Biology
·
2020 - Present
Biology,
Trinity College of Arts & Sciences
Recent Publications
Mathematical modeling and sensitivity analysis of synNotch-CAR T-cells identify engineering targets for dynamic tunability
Preprint · April 1, 2026 Full text CiteBoth sides now: modeling motor regulation of microtubule length at both ends.
Journal Article Physical biology · April 2026 Microtubules are dynamic biopolymers whose lengths are continuously regulated by the concerted actions of polymerization, depolymerization, and motor-protein activity. While numerous mathematical models have explored the regulation of filament length, most ... Full text CiteEnhancing generalizability of model discovery across parameter space with multi-experiment equation learning for biological systems.
Journal Article PLoS computational biology · April 2026 Agent-based modeling (ABM) is a powerful tool for understanding self-organizing biological systems, but it is computationally intensive and often not analytically tractable. Equation learning (EQL) methods can derive continuum models from ABM data, but the ... Full text CiteRecent Grants
CAREER: Mathematical inference and analysis of spatio-temporal RNA transport and organization in development
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2026 - 2031RTG: Training Tomorrow's Workforce in Analysis and Applications
Inst. Training Prgm or CMECo-Principal Investigator · Awarded by National Science Foundation · 2021 - 2027Pairing modeling and experiment to understand microtubule behavior in healthy and injured neurons
ResearchPrincipal Investigator · Awarded by Pennsylvania State University · 2022 - 2027View All Grants
Education
Brown University ·
2017
Ph.D.
Brown University ·
2013
M.S.
Duke University ·
2012
B.S.