Meet The Founders
Our founders bring extensive, cross-disciplinary expertise, spanning foundational computational technologies to cutting-edge research at the frontiers of neuroscience, with over 20 years of combined field experience. Through close collaboration, they offer unique insights essential for the challenging, research endeavors at the intersection of quantum computation, AI, and biology.
Avah Banerjee, PhD
Founder, CEO
Dr. Banerjee is a distinguished computer scientist working broadly in the fields of quantum computing, graph algorithms, and high-performance computing. She holds a Ph.D. in Computer Science from George Mason University. Her work spans several core areas within computer science, extending over more than a decade. Dr. Banerjee began her career working on evolutionary computation, focusing on the development and theoretical analysis of genetic algorithms. During her Ph.D., she addressed several open problems in the areas of sorting and graph theory, making significant contributions to long-standing questions. Following her Ph.D., she briefly worked on parallel and distributed computation, developing novel methods to reduce communication costs for accessing distributed data. As a faculty member at S&T, Dr. Banerjee concentrated on quantum computation. Her research in this field includes quantum circuit compilation, quantum walks, and, more recently, resource-optimized quantum chaos generators. Her work has been supported by the National Science Foundation and the Department of Defense.
Emily Hsiang, PhD
Co-founder
Dr. Hsiang earned her bachelor’s degree in Chemical Engineering from National Taiwan University and completed her Ph.D. in Neuroscience at Washington University in St. Louis. With over a decade of experience in neuroscience and chemistry, she has established herself as an expert in the field, consistently publishing her findings in top peer-reviewed journals, including Neuron, Nature Communications, and Science Advances. Driven by a passion for technical challenges, she is dedicated to advancing our understanding of complex biological systems. Her expertise includes using advanced optical imaging systems with transgenic mouse models to investigate neuronal functions at cellular and subcellular levels. Additionally, she applies machine learning to decode information processing in the early visual pathway and develops deep learning models to disentangle critical factors in understanding neuronal functions. She has also been recognized as a McDonnell International Scholar.