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Amir Babaeian

Senior Data Scientist at Roche

Amir Babaeian is a professional with over 10 years of experience at the intersection of computer science and statistics, specializing in analytical solutions for computer vision, natural language processing, recommender systems, and time series analysis.

He holds a PhD in Mathematics from the University of California, San Diego, with research focused on algorithms for dimensionality reduction and community detection in large graphs.

His current interests revolve around the application of machine learning and natural language processing in healthcare, particularly in clinical decision support systems.

Amir has a diverse educational background that includes degrees in Mathematics, Electrical Engineering, Computer Science, and Statistics from reputable institutions such as UC San Diego, UCL, and Amirkabir University of Technology - Tehran Polytechnic.

He has held key positions in renowned organizations such as Roche, Accenture, eBay, and Tresata, where he contributed as a Senior Data Scientist and Applied Researcher.

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Location

San Francisco Bay Area