Kyle Xiong

Kyle Xiong is a dedicated PhD student at Carnegie Mellon University's School of Computer Science, with a primary focus on computational biology and machine learning applications.

Kyle Xiong's research primarily revolves around the development of algorithms to explore nuclear genome organization, showcasing a strong passion for advancing the field through innovative approaches.

With a solid educational background that includes a Bachelor of Science in Bioengineering and Biomedical Engineering from The Johns Hopkins University, Kyle is well-equipped to tackle complex interdisciplinary challenges in his field.

Kyle has gained valuable professional experience through various roles, including being a Computational Biology Intern at Takeda, a Laboratory Coordinator, Build-a-Genome participant, and Research Assistant at The Johns Hopkins University.

His time as a student and researcher at The Johns Hopkins University has not only honed his skills but has also provided him with a rich understanding of bioengineering and biomedical engineering principles.

As a 5th year PhD student at Carnegie Mellon University, Kyle Xiong is positioned as a promising researcher and future expert in computational biology, owing to his commitment, expertise, and hands-on experience in the field.