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I am Ali Khalvandi, a graduate student in the Department of Mechanical Engineering at the University of Alberta, where I work under the supervision of Dr. Tian Tang and Dr. Hasan Uludağ.
My current research lies at the intersection of computational biology, Molecular Dynamics (MD) simulations, and Machine Learning, with a particular focus on understanding and optimizing small-interfering Ribonucleic Acid (siRNA) delivery mechanisms at the nanoscale.
Before joining the University of Alberta, I worked extensively on hydrogels and polymeric biomaterials at the Amirkabir University of Technology (Tehran Polytechnic) in Iran.
From 2017 to 2024, my research focused on computational and machine learning-oriented approaches to investigate the mechanical behavior and biocompatibility of hydrogels and porous biomaterials.
My earlier work involved the computational micromechanics of porous biomaterials, in-vitro characterization of hydrogels with applications in bone and cartilage tissue engineering as well as wound dressings.
I also conducted studies on the 3D printing of polymeric mechanical structures, particularly regular cellular structures, to understand their deformation and mechanical performance.
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