Resume

Stephen V. Brown, Ph.D. [email protected] www.stephenvbrown.com Based in New York, NY

Summary: Experienced NLP researcher and software developer – Background in accounting and finance – Specializing in AI and data science – Strong communication and leadership skills – Seeking challenging AI projects in a collaborative environment

Expertise

NLP & Deep Learning
  • Published research using NLP starting in 2011
  • Training and inference using various model architectures
  • Tools – PyTorch, spaCy, scikit-learn, Prodigy (annotation) |
Data Science
  • Statistical and machine learning approaches
  • Large, semi-structured data; extract-transform-load (ETL)
  • Data Types – text, accounting/financial, operational
  • Data Formats – SQL, NoSQL, Arrow, JSON, CSV, XML, XBRL
Software Development
  • Library, database, front- and back-end development
  • Design and implementation of large-/small-scale systems
  • Languages – Python, SQL, R, TypeScript, JavaScript
  • Python – Pandas, Polars, NumPy, SciPy, SQLAlchemy
  • Databases – PostgreSQL, MySQL, MongoDB, SQLite, Oracle
  • Systems – Linux admin; Docker containers; virtualization
  • Web Applications – Svelte, SvelteKit, Tailwind CSS, HTML
Business & Finance
  • MBA with finance/accounting background; CPA (inactive)
  • Exposure to various business environments and industries
  • Strong understanding of underlying business needs
Communication & Leadership
  • Experienced teacher, presenter, speaker, and technical writer
  • Comfortable bridging different organizational groups
  • Formal and informal leadership; supportive team member
  • Management of projects of varying complexity and size

Education

Ph.D. in Accounting
University of Florida
Additional Studies in: Finance, Economics, Statistics, and Econometrics

Master of Business Administration
University of North Florida
Concentration: Accounting

B.S. in Computer Science
University of North Florida
Minor: Mathematics

Work Experience

AI Engineer / Software Developer / Founder 2022 – Present

LyraText

  • Project-based NLP consulting and data production
  • Emphasizing on-time and on-budget delivery of models and data
  • Built comprehensive system to allow quick and accurate extraction of data from financial filings
  • Projects include:
    • Text segmentation of long document into topical sections
    • Extraction of specific quantitative items from financial statement footnotes
    • Creation of relational dataset from tables in PDF documents
    • Identification of risk factors in corporate annual reports
    • Using a variety of APIs to gather data for analysis

Assistant Professor 2012 – 2022

University of Connecticut 2018 – 2022

  • Teaching: Managerial Accounting
  • Research Highlights:
    • Use of deep learning for analysis of financial disclosures
    • Named entity (NER) model to identify accounting and regulatory items in text
    • Classification model for nuanced separation of different forward-looking statements
    • Served on NLP panel at prominent accounting conference; published subsequent paper on current state of the art and future direction of NLP in accounting research

University of Florida, Fisher School of Accounting (Visiting) 2017 – 2018

  • Teaching: Accounting Regulation (Graduate); Intermediate Financial Accounting
  • Research Highlights:
    • Began using machine learning techniques for textual analysis
    • Use and performance testing of various topic models, including LDA, LSA, and NMF
    • Innovations in within- and across-group cosine similarity measures

Arizona State University, W.P. Carey School of Business 2012 – 2015

  • Teaching: Valuation and Financial Statement Analysis (Graduate)
  • Research Highlights:
    • Performed some of the earliest NLP research in accounting
    • Techniques focused on algorithmic and rule-based measures
    • Introduced using vector-based cosine similarity in novel ways to measure year-over-year changes, within-group similarity, and firm-specific disclosures in financial filings

Software Engineer / Database Developer / Systems Administrator

  • Role: Consultant and full-stack software developer for diverse set of companies
  • Industries: Aviation, Banking, Healthcare, Telecommunications
  • Responsibilities: Project management, collaborating with end-users, gathering requirements, design, implementation, testing, and deployment
  • Team-based work as both group lead and member
  • Key Projects:
    • User- and management-facing web-based applications using database backends
    • Migration of standalone application code to reusable, object-oriented libraries
    • Online banking server management for large, multinational bank
    • Healthcare data management, transfer, and processing
    • Monitoring, management, and outage notification for large-scale network

Publications

Brown, S. V., Hinson, L. A., and J. W. Tucker. 2024. Financial Statement Adequacy and Firms’ MD&A Disclosures. Contemporary Accounting Research. 41 (1): 126-162. Bochkay, K., Brown, S. V., Leone, A. J. and J. W. Tucker. 2023. Textual Analysis in Accounting: What’s Next?. Contemporary Accounting Research. 40 (2): 765-805. Brown, S. V., Ma, G., and J. W. Tucker (2023). Financial Statement Similarity. Contemporary Accounting Research. 40 (4): 2577–2615. Brown, S. V., X. Tian, and J. W. Tucker. 2018. The Spillover Effect of SEC Comment Letters on Qualitative Corporate Disclosure: Evidence from the Risk Factor Disclosure. Contemporary Accounting Research. 35 (2): 622-656. Brown, S. V. and W. R. Knechel. 2016. Auditor-Client Compatibility and Audit Firm Selection. Journal of Accounting Research. 54 (3): 725-775. Brown, S. V. and J. W. Tucker. 2011. Large-Sample Evidence on Firms’ Year-Over-Year MD&A Modifications. Journal of Accounting Research. 49 (2): 309-346.

Professional

Certified Public Accountant (inactive) -– State of Florida (License #AC39959)

References

Available upon request.

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