Data Scientist

Irteza “Enan” Kabir is a data scientist at FLX who applies deep learning for object and pattern detection. Enan is concurrently conducting graduate research at University of Rochester. His PhD research focuses on finding human tissue stiffness from Magnetic Resonance and Ultrasound imaging for diagnosis of diseases like pancreatic cancer and brain tumor. His research interests include computer vision, machine and deep learning, natural language processing, digital signal, image and video processing, but is open to trying any exciting projects in the machine learning space.

Enan received a Master of Science in Electrical and Computer engineering from University of Rochester. Prior to joining University of Rochester, Enan worked as a lecturer in the Electrical and Computer Engineering department  in Islamic University of Technology, Bangladesh.