Shahab Sotudian
About Shahab Sotudian
Shahab Sotudian is a Machine Learning Research Scientist currently affiliated with Dana-Farber Cancer Institute, Broad Institute of MIT and Harvard, and Harvard University in Boston, Massachusetts. He specializes in developing machine learning models for medical applications, including cancer diagnosis and COVID-19 outcomes.
Work at Broad Institute
Shahab Sotudian has been employed as a Machine Learning Research Scientist at the Broad Institute of MIT and Harvard since 2023. His role is remote, allowing him to contribute to the institute's research initiatives from a flexible location. The Broad Institute is known for its focus on genomics and biomedical research, and Sotudian's work aligns with these objectives.
Current Role at Dana-Farber Cancer Institute
In addition to his position at the Broad Institute, Shahab Sotudian also serves as a Machine Learning Research Scientist at the Dana-Farber Cancer Institute. He has held this position since 2023, working in a hybrid capacity from Boston, Massachusetts. His research at Dana-Farber focuses on applying machine learning techniques to cancer research.
Education and Expertise
Shahab Sotudian earned his Doctor of Philosophy (PhD) in Systems Engineering with a focus on Machine Learning from Boston University, where he studied from 2018 to 2023. Prior to this, he obtained a Master's degree in Systems Engineering with a specialization in Data Science from Amirkabir University of Technology - Tehran Polytechnic, completing his studies from 2015 to 2017. His educational background provides a strong foundation for his research in machine learning and data analysis.
Research Contributions
Sotudian has made significant contributions to the field of machine learning and biomedical research. He developed fuzzy expert systems for hepatitis diagnosis and created clustering methods for gene expression data analysis. His work also includes developing predictive models for COVID-19 outcomes and a multi-cancer classifier utilizing epigenomic data. Additionally, he proposed innovative ranking schemes to enhance the ClusPro protein docking server.
Previous Experience at Best Buy and Boston University
Before his current roles, Shahab Sotudian worked as a Machine Learning Research Intern at Best Buy for five months in 2022. He also served as a Research and Teaching Assistant at Boston University College of Engineering from 2018 to 2023. These positions allowed him to gain practical experience in machine learning applications and contribute to academic research.