Seyedadel Moravveji

Postdoctoral Researcher in Mathematical Modeling of diseases/ Bio-mathematics

Canada

About

As a dedicated mathematician with a Ph.D. in mathematical modeling of Alzheimer’s Disease, my academic pursuits have brought me to CERVO, a leading brain research center in Quebec. There, I harness the power of Python to construct intricate models that decipher the intricacies of neurological disorders. My first postdoctoral research was centered on the sensitivity analysis of biological systems, meticulously evaluating how changes in parameters affect model outcomes to guarantee precision and dependability. Currently, I am a postdoctoral researcher at CHU Sainte-Justine, affiliated with the University of Montreal, where I focus on developing mathematical models to better understand epilepsy. My work aims to uncover new insights and potential treatments for this complex neurological condition. My skill set extends to Python programming, data science, and machine learning—key components of my research toolkit. These abilities enable me to forge resilient models that significantly contribute to the biotechnology and healthcare fields, guiding critical decisions. My academic background is equally rich, with four years of teaching mathematics at the university level in Iran, complemented by a four-year teaching assistantship at Laval University in Canada.

Experience

  • Université de Montréal (Montreal, Quebec, Canada · On-site)
    • Postdoctoral Researcher
      Oct 2025 - Present · 9 mos

    • Postdoctoral Researcher
      Sep 2024 - Sep 2025 · 1 yr 1 mo

      Postdoctoral Position at Université de Montréal and CHU Sainte-Justine Research Center

  • Université Laval (Quebec, Canada · On-site)
    • Postdoctoral Research Scientist
      Aug 2023 - Jul 2024 · 1 yr

      In my research, I specialize in sensitivity analysis within the realm of biological modeling. This involves methodically investigating how variations in model parameters can influence the output and behavior of biological systems. My focus is on identifying key factors that are most influential in complex biological processes, ensuring robust and reliable model predictions. This critical work not only enhances the understanding of biological systems but also informs strategic decision-making in biotechnology and healthcare industries.

    • Researcher PHD Student
      Oct 2017 - Jul 2023 · 5 yrs 10 mos

      As a math Ph.D., my area of expertise is the mathematical modeling of Alzheimer's disease. I joined CERVO, a brain research facility in Quebec, throughout the course of my project and have been using Python to build my model. I am also skilled in data science, machine learning, and object-oriented programming. At Laval University, I have the following research experiences: • Reviewed and Analyzed mathematical models of Alzheimer’s disease (846 articles). • Improved a mathematical model of Alzheimer’s disease based on ODE equations using Python, MEDICS laboratory (CERVO).

    • Teaching Assistant
      Jan 2018 - Dec 2022 · 5 yrs

      Teaching Assistant, Universite Laval, Canada: a) Analysis 1, Fall 2022, Winter 2018 b) Analysis 2, Winter 2020, Fall 2018, 2021 c) Linear Algebra, Fall 2019, and Winter 2018

  • Insructor at University of Kashan,
    Jan 2006 - Sep 2016 · 10 yrs 9 mos

    Teaching Experience: Instructor, University of Kashan, a) Differential Equations, Faculty of Engineering, Winter 2011, b) LaTex software trainer, Faculty of Mathematical Sciences, 2006-2016. Instructor, IUST University, a) Differential Equations, Fall 2014, 2016 b) Calculus, Winter 2012, 2013, 2014 Teaching Assistant, University of Kashan, Iran. Delivered lectures and developed some content for the course, a) Functional analysis, Winter 2016 b) Real Analysis, Fall 2016 c) Topology, Winter 2016 d) Analysis 1, Fall 2014, 2015 e) Analysis 2, Fall 2013, 2014 f) Calculus. Spring 2011, Winter 2012, 2013