Dr. Joseph Geraci, Ph.D. is a mathematician, medical scientist, and quantum machine learning specialist. He holds postdocs in machine learning, oncology, and neuropsychiatry. He has developed novel machine intelligence algorithms that are capable of providing extraordinary insights into complex data sets, like those found in clinical trials. He is associated with the Department of Molecular Medicine and Pathology at Queen's University in Ontario, Canada, and the Centre for Biotechnology and Genomics Medicine Medical College of Georgia, USA.

Mike has over 15+ years of industry and academic informatics and biotechnology experience focusing on tool development, usability, and design for custom software projects. He also has extensive experience leading collaborations with various stakeholders from over 50 industry partners to provide client-based solutions.

Dr. Leonchyk is medically trained and has a Ph.D. in computer science. He is an algorithms expert and supports software development through his extraordinary technical abilities for algorithm optimization. He is a lead engineer of Netramark’s Netra Health Atlas system.

Shashibushan holds a double masters degree in electrical and computer engineering from the University of Windsor. His research areas include data integration from multiple sensors e.g., cameras, laser scanners, and GPS for Autonomous vehicles. This provides the Netramark team with the ability to fuse together and understand data from different modalities including imaging, genetic, proteomic, clinical scales, miRNA, epigenetics, and beyond. He has built production-level software using deep learning/AI for level 3 self-driving cars and proof of concepts for facial expression recognition, multi-object detection, and tracking.

Jalal graduated with honours from Ryerson University with a Bachelor of Science degree in Computer Science. Jalal is currently working with artificial intelligence, and more specifically, developing machine learning based applications. Telling a machine exactly what to do is one thing, but he is thrilled about teaching it to do magic on its own. At Netramark, he is currently creating ‘magic’ as a member of the development team who are working with machine learning algorithms, as well as unique methods that lie at the powerful core of Netramark suite.

Bernard is a mathematician who provides the fuel for the innovative spark that drives Netramark's continuously evolving technology. Not only does he have a firm grasp of several areas of pure mathematics including algebraic geometry, category theory, and analysis, but he has many years of experience with statistical programming. Bernard's rigor and imagination is characteristic of how we view the future of machine learning and AI: an evolving field of which we have only scratched the surface.