Ayaan Hossain

Ayaan Hossain

Scientist, Machine Learning And Computational Biology @ Tessera Therapeutics

About Ayaan Hossain

Ayaan Hossain is a scientist specializing in machine learning and computational biology, currently working at Tessera Therapeutics. He holds a PhD in Bioinformatics and Genomics from Penn State University and has published research in Nature Biotechnology.

Work at Tessera Therapeutics

Ayaan Hossain currently serves as a Scientist in Machine Learning and Computational Biology at Tessera Therapeutics, a position he has held since 2022. In this role, he focuses on developing efficient algorithms and accurate machine learning models that support the company's Gene Writing™ and Gene Rewriting™ technologies. His work contributes to advancing the field of synthetic biology by enhancing the capabilities of genetic engineering.

Education and Expertise

Ayaan Hossain earned his Doctor of Philosophy (PhD) in Bioinformatics and Genomics from Penn State University, where he studied from 2016 to 2022. During his doctoral research, he published a first-author paper in Nature Biotechnology and trained as a Computational Synthetic Biologist under Professor Howard Salis. He also holds a Bachelor of Technology (BTech) in Computer Science and Engineering from Aliah University, which he completed from 2011 to 2015.

Background

Prior to his current role, Ayaan Hossain worked at Penn State University as a Graduate Research Assistant from 2016 to 2021. He also served as a Graduate Teaching Assistant for four months in 2018. His experiences in these positions provided him with a solid foundation in computational biology and machine learning, which he applies in his current research and development efforts.

Achievements

During his PhD research, Ayaan Hossain experimentally verified novel optimization algorithms and predictive models for engineering synthetic genetic parts. His contributions to the field are highlighted by his publication in a leading journal, Nature Biotechnology, which underscores his expertise in bioinformatics and genomics.

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