Folami T Alamudun
Folami Alamudun is a research scientist in the Advanced Computing for Health Sciences Section, part of the Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL). He holds B.S. in Computer Engineering and Ph.D. in Computer Science from the University of Texas at El Paso and Texas A&M University respectively. His Ph.D. work was focused on applied artificial intelligence for acquisition, synthesis and understanding of biomedical sensor data. Prior to ORNL, he worked as a technology and systems integration consultant at Accenture. His current work at ORNL involves developing efficient and scalable machine learning algorithms for feature extraction and classification of electronic health data including whole slide images, MRI, and pathology reports. Prior projects include developing efficient, configurable privacy preserving frameworks to minimize risks associated with single or joint computing on sensitive or restricted data; artificial intelligence driven biofeedback for virtual/augmented reality treatment and training constructs.
As a researcher at a US Department of Energy National Laboratory, I have experience collaborating with healthcare professionals, in industry, government, and academia, to deliver efficient computing solutions to practical challenges involving both image and text forms of electronic health records. These experiences include deliverables both as an individual contributor, in full stack development and deployment of deep learning solutions, and as part of a multi-institution R&D team.