Ajay Pillai
About Ajay Pillai
Ajay Pillai is a Senior Machine Learning Scientist with expertise in mathematical methods for big data analysis, currently working at ECS since 2019. He holds a PhD in Theoretical Neuroscience from Florida Atlantic University and has experience in managing teams and providing support to DARPA's AI and neurotechnology programs.
Work at ECS
Ajay Pillai has been serving as a Senior Machine Learning Scientist at ECS since 2019. In this role, he applies his expertise in mathematical methods for big data analysis, focusing on nonlinear dynamics, statistical learning theory, and artificial neural networks. His responsibilities include providing technical and management support to DARPA's artificial intelligence and neurotechnology programs. He also advises DARPA BTO staff on the latest developments and trends in AI and machine learning.
Education and Expertise
Ajay Pillai holds a PhD in Theoretical Neuroscience from Florida Atlantic University, where he studied from 2003 to 2008. He also earned a Master of Science (M.S.) in Computer Science from the same institution, completing his studies from 2001 to 2003. Earlier, he obtained a Bachelor of Engineering (B.E.) in Mechanical Engineering from University Visvesvaraya College of Engineering, studying from 1995 to 1999. His educational background supports his expertise in applying advanced mathematical methods in machine learning.
Background
Before joining ECS, Ajay Pillai worked as Chief Engineer and Faculty Research Associate at the Kennedy Krieger Institute from 2014 to 2019 in the Baltimore, Maryland area. He also held the position of Faculty Research Associate at Johns Hopkins Medicine during the same period. His experience in these roles contributed to his extensive knowledge in managing and training small teams of engineers and data scientists.
Achievements
Ajay Pillai has extensive experience in designing and implementing complex data-collection pipelines. His work has involved advising on the latest developments in artificial intelligence and machine learning, particularly in relation to DARPA's programs. His contributions have positioned him as a knowledgeable resource in the fields of AI and neurotechnology.