Akram Bayat, PhD

Akram Bayat, PhD

Dr. Akram Bayat received her Ph.D. in Computer Science from the University of Massachusetts Boston in 2018. Then, she worked as a postdoc associate at MIT Media Lab where her research focused on creating novel intersections between engineering, medical imaging, machine learning, and medicine to develop innovative high-impact patient-centered research. During her Ph.D. research, she worked on developing machine learning algorithms for solving real-world problems and conducted experimental studies for modeling of human physical and behavioral characteristics. Akram has significant expertise in applying deep learning for computer vision applications. Her recent work in computational staining of pathology images was mentioned at MIT News in May 2020.

• Primary area of quantitative expertise: Computer Vision
• Applied domain: Medical
• Data domain: Imaging