Email kyle.kloster -at- gmail.com, My Github, LinkedIn, & Google Scholar

I am an applied mathematician and computer scientist with experience in algorithms, linear algebra, and graph theory. I recently started a job as a software engineer with the computational geometry team at Carbon 3D, a late-stage additive manufacturing start-up in Redwood City, CA.

I received my PhD in Mathematics from Purdue University in 2016, where I worked with Professor David Gleich in the Computer Science department. My research centered on using linear algebra, optimization, and graph theory for large-scale data analysis via machine learning techniques like clustering, community detection, ranking, and recommendation systems. As a post-doc at NCSU I developed algorithms and software for difficult optimization and graph analytics problems, exploiting structure to scale methods to huge data sets.

For more detail on my interests and work, check out the following:

• My academic CV
• Research
• Teaching
• Video Series I founded in grad school on numerical linear algebra, graph theory, optimization, and related topics.
• Current projects