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Behrooz Vahedi Torghabeh is a PhD Student and Research Fellow at Aarhus University, focusing on various computational approaches in the field of plant biology. With academic qualifications including a Master of Science in Mathematics from the University of Trento and a Bachelor of Science in Mathematics from Shahid Beheshti University, his research spans multiple areas such as Deep Learning and Image Analysis, particularly in relation to Cryo Electron Microscopy. Behrooz's work emphasizes the importance of quantitative methods and machine learning models in evolutionary plant population genomics and data analysis. As a Principal Investigator on an active project running from February 2023 to January 2026, he aims to extract insights and streamline the research process within the realm of plant biology. His research interests also involve Functional Analysis and Biological Language Models, showcasing a versatile application of advanced mathematical techniques to biological data.
Aarhus University • Aarhus C, Denmark
Working on various research projects involving machine learning models and quantitative methods in plant biology.
Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.