Mahdi Zeidi
I am a postdoctoral research associate at the University of Alberta, working with Prof. Wylie Stroberg, where I explore the intersection of mechanical engineering and biophysics. My research focuses on machine-learning–driven modeling of intracellular transport, with a primary emphasis on how endoplasmic reticulum (ER) crowding and heterogeneity shape protein trafficking. My work spans from the development of multiscale models and leveraging operator-learning and auxiliary-variable approaches (Mori–Zwanzig/GLE) to extract mechanistic, clinically relevant insights.
I earned a double BSc degree in Mechanical Engineering and Aerospace Engineering from Sharif University of Technology, my MSc in Mechanical Engineering from the University of Alberta, and completed my PhD at the University of Toronto, working under the supervision of Prof. Chul B. Park and Prof. Chun Il Kim.
Education:
- PhD in Mechanical Engineering, University of Toronto (2019–2024)
- MSc in Mechanical Engineering, University of Alberta (2017–2019)
- Double BSc degree in Mechanical Engineering and Aerospace Engineering, Sharif University of Technology (2010–2016)
Selected Publications:
- Int. J. Eng. Sci.
A pseudoelastic response of hyperelastic composites reinforced with nonlinear elastic fibrous materials: Continuum modeling and analysisInternational Journal of Engineering Science, Aug 2024 - Science Advances
Bioinspired mechanically active adhesive dressings to accelerate wound closureScience Advances, Jul 2019 - Scientific Reports
The Effects of Intra-membrane Viscosity on Lipid Membrane Morphology: Complete Analytical SolutionScientific Reports, Dec 2018
