Rezwan Ahmed
About Rezwan Ahmed
Rezwan Ahmed is a Principal Research Scientist at Boston Scientific with extensive experience in machine learning applications for disease diagnostics and therapies, dynamic network mining, and bioinformatics.
Title
Rezwan Ahmed holds the position of Principal Research Scientist at Boston Scientific.
Current Role at Boston Scientific
Since 2017, Rezwan Ahmed has been working at Boston Scientific in Arden Hills, MN. His current role as Principal Research Scientist involves developing machine learning applications specifically for disease diagnostics and therapies. His expertise includes dynamic network mining and pattern mining, two specialized areas in data analysis.
Previous Work Experience
Rezwan Ahmed has extensive experience in the field of data science and software engineering. He served as Sr./Lead Data Scientist at Retrofit in the Greater Chicago Area from 2015 to 2017. Prior to that, he held multiple roles at Boston Scientific: Principal Software Engineer (2009-2015), Senior Software Engineer (2006-2009), and Software Engineer II (2003-2006). Additionally, he worked as a Research Assistant at Karypis Lab, University of Minnesota, from 2007 to 2014.
Educational Background
Rezwan Ahmed has an impressive academic background in computer science and bioinformatics. He earned his Ph.D. from the University of Minnesota-Twin Cities (2007-2014), an M.S. from the University of Minnesota (2001-2003), and a B.S. from the University of Minnesota Duluth (1998-2001). He also holds a Bachelor of Science degree from Bangladesh Marine Academy and a Higher Secondary School Certificate (HSC) from Faujderhat Cadet College.
Skills and Expertise
Rezwan Ahmed is proficient in various programming languages including R, Python, Java, C, Perl, SQL, MATLAB, and C++. He has a strong background in bioinformatics and regulated software development, particularly in medical devices. His skills extend to dynamic network mining and pattern mining, contributing significantly to his ability to tackle complex clinical research problems.