Jacob Sander is currently pursuing his PhD in Intelligent Systems and Robotics at the University of West Florida (UWF). He joined the Jalaian Research Group after receiving his Bachelor’s degree in Mechanical Engineering from Stanford University. As a research assistant in Dr. Brian Jalaian’s lab, Jacob’s primary focus is the compression and inference acceleration of large models.
Jacob’s research interests lie at the intersection of statistical physics and artificial intelligence. He is particularly passionate about applying theories from statistical physics to enhance our understanding and improve the performance of AI systems. His work aims to bridge the gap between these two fields, drawing on the rich insights of stochastic mechanics to provide bounds on machine learning problems.
In the Jalaian Lab, Jacob is working towards model compression – how to preserve the intelligence of a model as it is compressed. His background in mechanical engineering provides him with a unique perspective on problem-solving, which he leverages in his current research to develop innovative solutions in the realm of AI and machine learning.
When not engrossed in his studies and research, Jacob enjoys outdoor activities and staying active. He also has a keen interest in technology trends and often spends his free time exploring new developments in the field of AI and data science.
