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Maria-Veronica Ciocanel, Assistant Professor

Maria-Veronica Ciocanel

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/.

Contact Info:
Office Location:  120 Science Drive Physics 117, Box 90320, Durham, NC 27708
Office Phone:  (919) 660-2800
Email Address: send me a message
Web Page:  https://services.math.duke.edu/~ciocanel/

Teaching (Spring 2024):

  • MATH 790-90.07, MINICOURSE IN ADVANCED TOPICS Synopsis
    Gross Hall 104, TuTh 10:05 AM-11:20 AM
Office Hours:

Fall 2023: Mon 11am-12:30pm, Thurs 2:50-4:20pm.
Education:

Ph.D.Brown University2017
M.S.Brown University2013
B.S.Duke University2012
Keywords:

Computational methods • Data analysis • Developmental biology--Mathematical models • Dynamical systems in biology • Intracellular Transport • Mathematical biology in general • Muser Mentor • Stochastic processes--Mathematical models

Recent Publications   (More Publications)

  1. Ciocanel, M-V; Ding, L; Mastromatteo, L; Reichheld, S; Cabral, S; Mowry, K; Sandstede, B, Parameter Identifiability in PDE Models of Fluorescence Recovery After Photobleaching., Bulletin of Mathematical Biology, vol. 86 no. 4 (March, 2024), pp. 36 [doi]  [abs]
  2. Topaz, CM; Ning, S; Ciocanel, MV; Bushway, S, Federal criminal sentencing: race-based disparate impact and differential treatment in judicial districts, Humanities and Social Sciences Communications, vol. 10 no. 1 (December, 2023) [doi]  [abs]
  3. Nelson, AC; Rolls, MM; Ciocanel, M-V; McKinley, SA, Minimal Mechanisms of Microtubule Length Regulation in Living Cells (October, 2023)
  4. Ciocanel, M-V; Goldrosen, N; Topaz, C, Quantifying Federal Sentence Disparities with Inferred Sentencing Records, SIAM News Blogs (September, 2023)
  5. Ciocanel, M-V; Ding, L; Mastromatteo, L; Reichheld, S; Cabral, S; Mowry, K; Sandstede, B, Parameter identifiability in PDE models of fluorescence recovery after photobleaching (July, 2023)
Recent Grant Support

  • Pairing modeling and experiment to understand microtubule behavior in healthy and injured neurons, Pennsylvania State University, 2022/06-2027/04.      
  • Mechanosensitivity of Membrane-Actin Cortex Adhesion, National Science Foundation, 2023/08-2026/07.      
  • RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06.      

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320