BIOGRAPHY

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.

It should be noted that great care was taken as to the design of this website. I.e., its primitive design is intentional.

RESEARCH PROFILE

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, social choice theory, decision theory, discrete mathematics, and essentially any possible theoretical underpinning of a subject area.

NOTICE

Research, it seems to me, forms part of one of the highest aspirations and motivations of an individual—that is, the pioneering of a frontier unknown. Should an interested student happen upon this message, such student might do well to reach out to learn more and for possible research collaborations and mentorship.

INDUSTRIAL PROFILE

In the Summer of 2026 internship cycle, I was the AI Engineering Intern for the AI Solutions Organisation of Gainwell Technologies, one of the largest service providers for Medicaid and other public health programmes. There, my work specialised in designing, implementing, and deploying a fully operational AI and data-workflow pipeline for Medicaid/public-sector accounts for 26 states and the Virgin Islands. In addition, my work supported solution areas with potential downstream relevance to Medicaid beneficiaries, providers, and agency users, including call-quality review, call analytics, provider enrollment, screening automation, document verification, revalidation, live-check processing, dashboard visibility, and process-control governance.

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.

SERVICE PROFILE

* Reviewer for SPIRE 2026.

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