NSF MRI: High Performance Digital Pathology Using Big Data and Machine Learning

Faculty

Tunde Farkas (TBD) , MD

Dr. Tunde Farkas is a pathologist affiliated with the Temple University Hospital. She received her medical degree from the University of Debrecen Medical and Health Science Center, and has been practicing medicine for over 21 years. She is one of twelve doctors at Temple University Hospital who specialize in pathology.

Contact: tunde.farkas@temple.edu

Nirag Jhala (TBD) , MD

Dr. Nirag Jhala is the Director of Anatomic Pathology and Director of Cytopathology at Temple University Hospital. Dr. Jhala received his medical degree from Gujarat University. He specializes in pathology and has been in practice for over 20 years. His expertise in pathology is of great help to this project.

Contact: nirag.jhala@tuhs.temple.edu

Iyad Obeid (Associate Professor) , PhD

Dr. Iyad Obeid is an Associate Professor of Electrical and Computer Engineering in the Temple University College of Engineering, and is jointly appointed to the Department of Bioengineering. He is also co-Director of the Neural Engineering Data Consortium. His expertise is in brain machine interfaces and provides extensive knowledge on digital pathology and machine learning.

Contact: iobeid@temple.edu

Yuri Persidsky (TBD) , MD

Dr. Yuri Persidsky is a surgical pathologist, a chairperson of the Department of Pathology and Laboratory Medicine, and a Professor of Pathology and Laboratory Medicine at Temple University's School of Medicine. His research interests focus on neurocognitive disorders caused by HIV-1, alcohol, and methamphetamine. His knowledge and expertise in pathology is essential to the success of this project.

Contact: yuri.persidsky@temple.edu

Joseph Picone (Professor) , PhD

Dr. Joseph Picone provides the overall coordination of the project and is the contact PI. He currently directs the machine learning aspects of the project. Dr. Picone is a Professor of Electrical and Computer Engineering in the Temple University College of Engineering. He is also co-Director of the Neural Engineering Data Consortium. His expertise is in machine learning specifically in signal and image processing applications such as speech recognition.

Contact: joseph.picone@gmail.com