Cansu Sen
Director Of Applied Research, Machine Learning at CODAMETRIX
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolCansu Sen is a machine learning researcher and leader with 11 years of experience, currently serving as Director of Applied Research, Machine Learning at Codametrix in Boston. She specializes in deep learning for healthcare, developing novel architectures to model multimodal, sequential Electronic Health Records for disease prediction and clinical note classification. Her background spans academic research (PhD-level work at Worcester Polytechnic Institute) and industry applied science roles at Amazon Alexa NLU, Intel Labs, and medical research centers, bridging rigorous research with product-focused deployment. Known for combining attention-based and recurrent architectures with practical EHR pipelines, she brings both hands-on model innovation and experience scaling ML into clinical and enterprise settings. An early software engineer in payments, she retains production-minded engineering instincts alongside deep domain expertise in clinical ML.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Worcester Polytechnic InstituteMaster of Science (M.Sc.) Computer Sciences and Engineering, Master of Science (M.Sc.) Computer Sciences and Engineering at Koç UniversityBachelor of Science (B.Sc.) Computer Engineering, Bachelor of Science (B.Sc.) Computer Engineering at Yıldız Teknik Üniversitesi 
Turkish, Spanish, English
Stackoverflow
1reputation
0reached
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Github contributions (5)
cansusen/Human-Attention-for-Text-Classification
May 2019 - Jul 2020
Contributions:11 commits, 8 pushes in 1 year 1 month
cansusen/test
May 2020 - Aug 2020
Contributions:4 pushes, 1 branch in 2 months
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