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I am a dedicated researcher with a deep fascination for the molecular/evolutionary dynamics of proteins and their impact. Specifically, understanding the structure and function of proteins, their evolution, and also their role in human diseases. I am open to new technological developments and addressing emerging medical challenges. I bring a creative and medical perspectives to research projects, introducing new ideas and providing help to research interns on computational methods and genomic tools. 

 

Beyond my academic pursuits, I am actively engaged in advocacy work, focusing on mostly planetary health, and open science. During the COVID-19 pandemic, I actively participated in translation projects to share crucial information. In my perspective, public health significantly benefits from open societies.

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My skill set includes a comprehensive understanding of diverse methodologies, including structural topology, variant analysis, homology, ab initio molecular modeling, molecular neuroscience, signal transduction, alternative splicing, protein-protein/ligand interactions, molecular mimicking, ancestral protein analysis, large-scale variant analysis. Moreover, I have experience in working with neural proteins and editing medical databases. I possess experience in conducting statistical tests and correlation analysis. Through my involvement in different labs, I am acquainted with at least three distinct statistical analysis programs. One of my main focuses is applying the Game Theory and Extensive Form Structures to protein evolution. My skills extend to performing molecular dynamics simulations and multimer predictions for both globular and membranous proteins. For intricate calculations, I am familiar with various supercomputer infrastructures. I actively contribute to projects addressing modulator design for disease-linked proteins. I have more than 20 submitted research papers, several international presentations, and 3 patent applications.