Dr. Monroe Kennedy's research is to develop technology that improves everyday life by anticipating and acting on the needs of human counterparts. The research can be divided into the following sub-categories: robotic assistants, connected devices and intelligent wearables. Dr. Kennedy uses a combination of tools in dynamical systems analysis, control theory (classical, non-linear and robust control), state estimation and prediction, motion planning, vision for robotic autonomy and machine learning.

Employing a fundamental understanding of organic chemical reaction pathways, Dr. William Mitch's research explores links between public health, engineering and sustainability. Topics of current interest include:

Dr. Karthik Balakrishnan studies ways to improve outcomes of pediatric airway reconstruction for diseases such as laryngotracheal, subglottic and tracheal stenosis, congenital tracheal stenosis and complete tracheal rings, laryngeal clefts, and vocal fold immobility and paralysis. He also examines the same questions for vascular malformations such as lymphatic malformations, venous malformations and hemangiomas.

Dr. Johannes Eichstaedt applies Natural Language Processing and machine learning to social media data to study and measure the psychological states of large populations. His primary focus is the measurement of societal well-being and mental health.

Dr. Feliks Kogan's research is focused on the development and clinical translation of novel quantitative and molecularly specific imaging technologies geared toward detection of disease at the earliest causative stages. Specifically, he is motivated to study the causes and treatment of osteoarthritis (OA) and other musculoskeletal disorders, which have a large physical and financial impact but remain poorly understood. Research projects include development of:

Dr. Nicholas Haber uses AI models of of exploratory and social learning in order to better understand early human learning and development, and conversely, he uses our understanding of early human learning to make robust AI models that learn in exploratory and social ways. Based on this, Dr. Haber develops AI-powered learning tools for children, geared in particular towards the education of those with developmental issues such as the Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder, in the mold of his work on the Autism Glass Project. Dr.

How do glia sculpt neural circuits and how does dysregulation of glia contribute to disease? Glia make up more than half of the cells in the human brain, but we are just beginning to understand the complex and multifactorial role glia play in health and disease. Glia are decidedly dynamic in form and function. Understanding the mechanisms underlying the dynamic nature of glia is imperative to developing novel therapeutic strategies for diseases of the nervous system that involve aberrant gliogenesis.

Dr. Jonas Cremer is an Assistant Professor in Biology. He is interested in the physiology and growth of prokaryotes. Dr. Cremer studied physics and biophysics in Munich. He was a postdoctoral research at the University of California, San Diego. Before joining Stanford, he was an Assistant Professor at the University of Groningen.

Dr. Danielle J. Mai joined the Department of Chemical Engineering at Stanford in January 2020. She earned her B.S.E. in Chemical Engineering from the University of Michigan and her M.S. and Ph.D. in Chemical Engineering from the University of Illinois at Urbana-Champaign under the guidance of Prof. Charles M. Schroeder. Dr. Mai was an Arnold O. Beckman Postdoctoral Fellow in Prof. Bradley D.

Dr. Gozde Durmus's research focuses on applying micro/nano-technologies to investigate cellular heterogeneity for single-cell analysis and personalized medicine. At Stanford, she is developing platform technologies for sorting and monitoring cells at the single-cell resolution. This magnetic levitation-based technology is used for wide range of applications in medicine, such as, label-free detection of circulating tumor cells (CTCs) from blood; high-throughput drug screening; and rapid detection and monitoring of antibiotic resistance in real-time.