Brayton Hall

Data Scientist · Language Models · Philosophy and Literature

The Cliffs of Moher, County Clare, Ireland
Cliffs of Moher, County Clare.
Brayton Hall

For the past several years I have worked on language models at large banks, mostly on the problem of reading: how a machine might usefully summarize a million documents, or the conversation a customer just had, or the shape of a fraud as it forms. The models themselves arrive almost finished. What remains is the slower work of making them trustworthy, and that is where my attention goes: evaluation, restraint, the long distance between a demonstration and a system.

Before any of this I studied philosophy, metalogic and number theory mostly, and taught logic and statistics at Virginia Tech. The question I cared about then was how symbols come to mean anything at all. I have not changed questions; the field changed instruments.

Off the clock: long runs (the occasional marathon), New York by ferry, movies at the Metrograph, the piano, writing, and slow, happy progress through Joyce and Proust.

Work & Education

2026 —
Something new

Soon.

2024 —
Capital One · data scientist

Lead developer of the company’s second production generative-AI use case: summarizing 1M+ highly sensitive documents for executive committees (≈$20M/yr). Model development, compliance, and monitoring for the fraud model covering every Capital One card (≈$400M/yr in prevented loss).

2022–24
Bank of America · data scientist

Built and monitored the bank’s primary abstractive-summarization pipeline for calls between agents and customers, trained on 600K agent notes and 150M transcribed conversations (≈$10M/yr), with custom summary-quality metrics.

2020–21
PrimeNeuro · data scientist

ML on infant-brain fMRI (100K+ features) for early-intervention prediction: interpretable models, Shapley values, feature extraction.

2020
Flatiron School · data science program
2015–19
Virginia Tech · MA in philosophy; graduate instructor

Metalogic, number theory, philosophy of science and language. Taught logic and statistical inference.

2009–13
UNC Chapel Hill · BS in psychology

Projects

Semantic search interface

Semantic Search

Search classic novels by connotation and misremembered quotes rather than exact fragments. Doc2Vec embeddings over Project Gutenberg.

Ulysses chapters in TF-IDF space

Mapping Ulysses

Vectorizing each chapter of Joyce and plotting the novel’s drift through its own semantic space. Data science as literary criticism.

Summarizing War and Peace

Few-shot fine-tuning of pre-trained transformers for long-document summarization.

code

Twitter Topic Modeling

LDA over 100K pandemic-era tweets: finding the distinct communities and their sentiment.

code