Seydou T.

Seydou T.

Senior Computational Biologist @ InstaDeep

About Seydou T.

Seydou T. is a Senior Computational Biologist at InstaDeep Ltd, specializing in Cloud Computing and Artificial Intelligence. He has a strong background in bioinformatics, computational protein design, and has held various research positions in prestigious institutions across France and the USA.

Work at InstaDeep

Seydou T. currently holds the position of Senior Computational Biologist at InstaDeep Ltd, a role he has occupied since 2021. Based in Paris, he focuses on leveraging his expertise in computational biology to advance the company's initiatives in artificial intelligence and machine learning. His work involves applying advanced computational techniques to solve complex biological problems.

Education and Expertise

Seydou T. has a strong educational background in bioinformatics and computational biology. He earned a Doctor of Philosophy (Ph.D.) in Structure-Based Computational Protein Design from the Institut National des Sciences Appliquées, Toulouse University, from 2011 to 2014. Prior to his Ph.D., he completed a Master’s degree in Computer Science with a focus on Bioinformatics and Biostatistics at École Polytechnique from 2009 to 2011, and an undergraduate degree in Biology and Computer Science at the University of Strasbourg from 2007 to 2009.

Background

Seydou T. has accumulated diverse experience in computational biology and bioinformatics through various roles. He worked as a Postdoctoral Researcher at CEA - Commissariat à l'énergie atomique et aux énergies alternatives from 2014 to 2016. He also served as a Research & Development Consultant at Neoxia from 2016 to 2019, and as a Machine Learning & Data Scientist at Djatéminin from 2020 to 2021. His early career included internships at École Polytechnique and a visiting scholar position at Duke University.

Achievements

Seydou T. has made significant contributions to the field of computational biology, particularly in the area of combinatorial optimization methods for Computational Protein Design, developed during his Ph.D. studies. He has published scientific articles in reputable journals, including the Artificial Intelligence Journal, the Journal of Computational Chemistry, and the Bioinformatics journal. His experience extends to national and international scientific communications, where he has delivered both poster and oral presentations.

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