Christopher Tunnell

Professor Christopher Tunnell is an esteemed faculty member at the Department of Physics and Astronomy and the Department of Computer Science at Rice University. With a robust academic foundation, he earned his Bachelor of Science in Physics from the University of Texas at Austin in 2008, followed by a Doctor of Philosophy in Particle Physics from the University of Oxford. His academic journey has been marked by a deep commitment to advancing the field of particle physics through innovative research and teaching. At Rice University, Professor Tunnell is a pivotal figure in the Data Science Initiative and Cosmology efforts, where he leverages his expertise in data-intensive research to explore the mysteries of the universe. His work is particularly focused on the detection of dark matter, a pursuit that combines Earth-based detectors, advanced particle physics techniques, and cutting-edge data science and machine learning methodologies. This interdisciplinary approach not only enhances our understanding of dark matter but also contributes to the broader field of astrophysics. Professor Tunnell's research interests are diverse and encompass machine learning, dark matter, data science, and particle physics. His dedication to these areas is reflected in his active participation in building and refining dark matter detectors, which are crucial for unraveling the enigmatic nature of this elusive component of the universe. His work is characterized by a commitment to pushing the boundaries of what is known, utilizing novel techniques to address some of the most challenging questions in modern physics. In addition to his research, Professor Tunnell is deeply committed to education and mentorship, inspiring the next generation of scientists and researchers. His courses often integrate his research interests, providing students with a unique opportunity to engage with cutting-edge science and technology. Through his teaching and research, Professor Tunnell continues to make significant contributions to the fields of physics and data science, fostering a collaborative and innovative academic environment at Rice University.