George Mallas serves as the AI/Data Science Director at Medtronic, where he leverages his extensive expertise in machine learning and digital signal processing to drive innovation in medical technology. With a PhD and a decade of experience, George is at the forefront of developing advanced...
George Mallas serves as the AI/Data Science Director at Medtronic, where he leverages his extensive expertise in machine learning and digital signal processing to drive innovation in medical technology. With a PhD and a decade of experience, George is at the forefront of developing advanced algorithms that enhance the functionality of Continuous Glucose Monitors (CGMs). His role involves leading a talented team of machine learning engineers and data scientists dedicated to creating cutting-edge sensor glucose algorithms that significantly improve patient outcomes for individuals with diabetes.
Under George's leadership, the team employs sophisticated machine learning techniques and robust signal processing methodologies to refine glucose monitoring capabilities. This involves not only the development of algorithms but also close collaboration with software and firmware teams to ensure seamless integration of these technologies into Medtronic's medical devices. His deep understanding of physiological signals and sensors allows him to innovate solutions that address the complexities of glucose variability and improve the accuracy of readings, ultimately empowering patients to manage their health more effectively.
George's skill set spans a wide range of disciplines, including embedded software development, circuit analysis, and image processing, making him a versatile leader in the medical device industry. His commitment to improving human health drives his passion for experimentation and innovation, as he continuously seeks to push the boundaries of what is possible in diabetes management. As Medtronic continues to lead the charge in transforming healthcare through technology, George Mallas remains a pivotal figure in shaping the future of diabetes care.