Å·ÃÀ¿Ú±¬ÊÓƵ

At Å·ÃÀ¿Ú±¬ÊÓƵ Boulder I’ll be working on the design and implementation of efficient numerical methods for challenging problems (mostly presenting as differential equations) in science and engineering. I’m particularly looking forward to being able to work with people from computer since, applied math, physics, and beyond in the interdisciplinary, collaborative setting offered by the university.

I am excited to work on trustworthy quantum computing to enhance the reliability and security of quantum computers and emerging accelerators, as well as exploring quantum intelligence to pursue synergistic opportunities between quantum computing, machine learning, AI, and optimization.

I am excited to be joining the Computer Science Department at the University of Å·ÃÀ¿Ú±¬ÊÓƵ Boulder! My goal is to ensure that students from all backgrounds feel supported by our programs. I believe it is important to address learning needs both inside and outside the classroom, and to celebrate the diversity that each student brings as a valuable strength. I am looking forward to working alongside the wonderful faculty and staff at Å·ÃÀ¿Ú±¬ÊÓƵ Boulder to strengthen our programs and build meaningful partnerships

I’m thrilled to join the teaching faculty in the post-baccalaureate program in Applied Computer Science at Å·ÃÀ¿Ú±¬ÊÓƵ Boulder. One of the most rewarding aspects of this position is engaging with passionate, motivated students who are eager to learn and grow. I'm especially excited to introduce the latest advancements in artificial intelligence to the classroom. Over the past five years, AI has undergone rapid transformations, and I’m eager to help students understand the inner workings of these technologies, apply them to real-world problems, and innovate for the future. My goal is to empower students to not only grasp the concepts of computer science but also to become contributors to the evolution of this ever-changing field.

I am thrilled to start my new research lab at Å·ÃÀ¿Ú±¬ÊÓƵ Boulder CS and tackle some of the most challenging and impactful problems in geospatial and statistical machine learning. Along with the PhD students in my lab, I am excited to push the frontiers of fundamental machine learning research for practical social and scientific impacts, and to find new collaborators in this mission across the University of Å·ÃÀ¿Ú±¬ÊÓƵ.