David Palmer is a first-year doctoral student in
computer science at MIT, where he does research in applied geometry under
Professor Justin Solomon.
David became obsessed with differential geometry at an early age, initially
wanting to learn the language of general relativity. A side interest in
computer generated art led him to explore the computational applications of
differential geometry. At Harvard, David pursued a broad course of study in
computer science and mathematics. He had the great opportunity to study
geometry and computer graphics under Professor Steven Gortler. This led to a
senior thesis on a path toward computing quasiconformal maps between surfaces
via discrete measured foliations.
After earning his bachelor's degree in computer science at Harvard,
David went on to intern at Pixar Research, where he worked with Fernando de
Goes on tools for manipulating discrete vector fields and on a fluid simulator
based on power diagrams. In order to deepen his background in pure mathematics,
David spent a year studying toward a master's in math at the
University of Cambridge, generously supported by a Herchel Smith fellowship.
There he focused on differential geometry and topology.
David's current research aims to ensure topological correctness of brain
surfaces reconstructed from medical MRIs. While at MIT, he hopes to hone his
curiosity in search of connections between disparate fields. Following graduate
school, David will pursue a career in research and innovation.
David was born in Chicago, Illinois and spent his childhood in Deerfield,
Illinois. He enjoys singing, baking sourdough bread, and keeping bees.