Aaron Higuera

Professor Aaron Higuera is an Assistant Research Professor in Physics and Astronomy at Rice University, where he is focused on innovative teaching methods in the realm of particle physics and astronomy. With a keen interest in neutrino science and dark matter, Professor Higuera is dedicated to advancing our understanding of the universe through the integration of machine learning techniques. His research is particularly centered on enhancing the precision and efficiency of dark matter direct detection searches and rare event searches, which are pivotal in unraveling the mysteries of the cosmos. In his quest to address fundamental questions in particle physics, Professor Higuera delves into the intriguing concept of matter asymmetry. He is fascinated by the enigma of why Standard Model particles constitute only about one-sixth of the total matter in the Universe, a question that has profound implications for our comprehension of the cosmos. By employing cutting-edge ML methods, he aims to shed light on these complex phenomena and contribute to the broader field of neutrino science. Professor Higuera's work is characterized by a commitment to interdisciplinary collaboration, as he believes that the integration of diverse scientific perspectives is essential for tackling the most challenging questions in physics. His approach not only enhances the depth of his research but also enriches the educational experience of his students, who benefit from exposure to the latest advancements in technology and scientific inquiry. Beyond his research endeavors, Professor Higuera is passionate about mentoring the next generation of scientists. He actively engages with students, encouraging them to explore the frontiers of physics and astronomy with curiosity and rigor. His dedication to fostering a dynamic and inclusive learning environment is reflected in his innovative teaching methods, which aim to inspire and empower students to pursue their own scientific discoveries.