I’m a Staff Research Scientist at Waymo, where I’m developing new technologies for autonomous vehicles in areas such as neural rendering, sensor simulation, sensor fusion, multi-task learning and foundational models.
I enjoy interdisciplinary work, and have broad experience in machine learning, deep learning and computer vision, with specific expertise in developing and deploying autonomous and safety-critical technology at scale. Before joining Waymo, I pursued research in domains such as computational perception, UAV navigation and biomedical imaging. More specifically, some of my previous projects were related to the study of human memory (at MIT), machine learning applications in healthcare (with Massachusetts General Hospital), astronomy (with the Harvard-Smithsonian Center for Astrophysics) and electron microscopy (with the Harvard Lichtman Lab).
I hold a Master’s degree in Computational Science and Engineering from Harvard University. I spent one year as a Research Affiliate in Aude Oliva’s lab at MIT CSAIL, where I computationally modeled human visual memory as part of the Memento project. During my time at Harvard, I also interned in the Google Brain Robotics team under Anelia Angelova. Previously, I earned a BSc in Computer Science from the University of Bonn, Germany in 2016, where I minored in physics and astronomy, and worked as a research intern at King Abdullah University of Science and Technology (KAUST).