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Hadi Zadeh Haghighi - A Brief Biography

Hadi Zadeh Haghighi is a physicist with a diverse academic background. He completed his undergraduate studies in nuclear physics and went on to earn a master's degree in biophysics from the University of Tehran. Seeking further knowledge, he ventured to France, where he obtained dual master's degrees in theoretical and mathematical physics from Paris Saclay University and Aix-Marseille University under the Academy of Excellence Scholarship. His academic journey then led him to Canada, where he pursued a Ph.D. at the University of Calgary under the supervision of Prof. Christoph Simon. Notably, Hadi's doctoral work was marked by exceptional speed and productivity. Subsequently, he secured a postdoctoral position within the same research group, continuing his contributions to the fields of physics, chemistry, biology, and neuroscience.
One of the main results of Zadeh Haghighi's research in Quantum Biochemistry was the proposal that radical pairs are widespread across biology. In addition to this, he had the opportunity to expand my knowledge in the field of Density Functional Theory (DFT) through the guidance of Dr. Salahub. Dr. Zadeh Haghighi's work in Quantum Biochemistry continued to make significant strides during his postdoctoral tenure. He collaborated closely with fellow researchers at the Hotchkiss Brain Institute and the Physics and Astronomy Department, embarking on experiments that delved into the intriguing realm of magnetic field effects on tadpoles' pigmentation and gene expression, as well as plants' delayed luminescence. These studies illuminated the intricate connection between quantum biology and biochemical models. He also spearheaded a project focused on a brain-inspired (neuromorphic) quantum computing scheme. Moreover, He has been working on a nitrogen vacancy-based quantum sensing for the brain imaging project. Furthermore, he has also contributed to the field through my involvement in projects centred around hexagonal boron nitride quantum networks and brain networks.



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Last updated March, 2024