I am a Ph.D. student at the University of Texas at Dallas. My advisor is Dr. Daniel Gibney. I enjoy using the British convention sometimes, but not consistently, in my spelling; frankly, it depends on my mood.
A fun fact about me is my Erdős Number is—for now—five. Curious about yours? Find out here.
My current work focuses on efficient algorithms and data structures. I have been in research since I started as an undergraduate; at that time, I did computer vision and multimodal computing under Dr. Yapeng Tian. I still do work there, actually, in using multimodal LLMs for deepfake detection.
Later, I did work on incorporating artificially intelligent watershed algorithms in segmenting grains in methylammonium lead iodide films for perovskite solar cell optimization at the Natural Science and Engineering Research Laboratory under a grant awarded by the Research Experiences for Undergraduates program of the United States National Science Foundation.
Following that, I did work under Dr. Emily Fox on approximating the Fréchet Distance. Ever since, my work has been in computational biology and data compression under Dr. Gibney. I am also interested in automata theory.
It is my most fervent belief that I ought to quest for new, dynamic opportunities to apply theory to reality. That means my technical background translates quite smoothly into business needs. I have a wealth of experience leading teams and developing projects from conception to production to delivery and encourage the interested reader to view /~wtd/EXTRAS/ for a curated selection of my working portfolio.