About Gaurav Sharma

Gaurav Sharma is a Postdoctoral Researcher at Michigan State University with a background in computational and analytical chemistry.

Work at Michigan State University – Burgess Institute for Entrepreneurship & Innovation

Gaurav Sharma currently serves as a Postdoctoral Researcher at Michigan State University. His tenure began in 2019 and has continued to the present. In this role, he engages in advanced research, focusing on computational techniques and their applications in the field of chemistry and protein modeling.

Previous Experience at University of Miami

Gaurav Sharma worked at the University of Miami from 2014 to 2019. He held two positions during this period: Graduate Teaching Assistant from 2014 to 2017 and Graduate Research Assistant from 2017 to 2019. In these roles, he contributed to both teaching and research activities, enhancing his expertise in computational chemistry.

Educational Background in Chemistry

Gaurav Sharma earned a Doctor of Philosophy (Ph.D.) in Computational Chemistry from the University of Miami, completing his studies from 2014 to 2019. Prior to this, he obtained a Master of Science (MS) in Analytical Chemistry from Idaho State University, where he studied from 2012 to 2014. His foundational education includes a Bachelor of Pharmacy from PSIT Kanpur, completed from 2007 to 2011.

Research and Technical Skills

Gaurav Sharma has developed a strong skill set in computational techniques, particularly in molecular docking and molecular dynamics simulations. He has utilized advanced software tools such as MODELLER, PyMol, MATLAB, Discovery Studio, and KNIME. His research includes homology modeling and QM/MM simulations on the ZRT/IRT-like Protein (ZIP) Family Zinc Transporter, as well as expertise in using Rosetta software for protein modeling.

Certifications and Professional Development

Gaurav Sharma has achieved the AWS Cloud Practitioner certification, demonstrating his proficiency in cloud computing services. This certification complements his extensive research background and technical skills in computational chemistry and protein modeling.

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