My name is Marc Khoury. I'm an Algorithm Developer at Hudson River Trading. I received a PhD in Computer Science from UC Berkeley, a Masters in Mathematics from the University of Cambridge, and a Bachelors in Computer Science and Engineering from The Ohio State University. Over the course of my academic career, my research contributions spanned computational geometry, machine learning, optimization, geometric computer vision, and visualization. I received an NSF Graduate Research Fellowship, a Churchill Scholarship, and was a Finalist for the Hertz Fellowship.
Algorithm Developer (August '20 —)
Research Intern (May '16 — June '17)
Member of Intel Intelligent Systems Lab. Developed a new approach for constructing local geometric feature descriptors for point cloud correspondences using deep learning.
Software Engineering Intern (May '14 — Aug '14)
Developed applications that enable mobile developers to support advertisements.
Research Intern (June '12 — Aug '13)
Member of RiSE. Developed a progressive graph data structure that dynamically reﬁnes and coarsens a graph around a focus region for interactive visualization of large graphs.
Software Engineering Intern (Sept '11 — Dec '11)
Developed a framework to collect, store, and analyze data from fraud cases to further automate Amazon’s fraud investigations.
Research Intern (June '11 — Aug '11)
Developed a scalable stress majorization technique using approximate linear algebra to generate large graph drawings.
Ph.D., Computer Science (Aug '13 — May '20)
MASt, Mathematics (Aug '12 — May '13)
BS, Computer Science and Engineering (Sept '08 — June '12)
Summa cum laude with Honors Research Distinction