Ryan Gallagher Email & Phone Number

New York, NY, US

Los Angeles, California, US

Trust & safety - US Data Security (USDS)

• Implemented machine learning and network models to detect harmful actors on social media, including those participating in coordinated platform manipulation, amplifying disinformation narratives, and sharing extremist.
• Collaborated with investigative analysts to detect state-backed and coordinated information operations, as reported by national news outlets including the New York Times, the Wall Street Journal, and NBC News
• Drove data science projects and products from conception to deployment by managing collaboration between machine learning engineers, software developers, product managers, UX designers, internal analysts, and other key.
• Improved internal tooling, processes, and patterns for developing and deploying machine learning models
• Mentored junior data scientists and machine learning engineers in their technical skills and knowledge of online trust & safety

San Francisco, CA, US

• Audited the algorithmic susceptibility of Community Notes—Twitter's crowd-based approach to addressing misleading information on the platform—to various forms of adversarial manipulation
• Developed an evaluation suite of ground-truth assessments, descriptive metrics, and synthetic experiments to measure the performance of changes to the Community Notes ranking algorithm
• Provided cross-functional, embedded data science support to core teams, such as Home Timeline and Who to Follow

San Francisco, CA, US

Boston, MA, US

• Researched how people amplify their voices online, particularly within the contexts of hashtag activism, polarization, and misinformation
• Worked extensively with social media data using Python (e.g. numpy, matplotlib, scikit-learn, spacy, networkx, etc.), Spark, Postgres, Slurm, Dask, and Bash
• Developed open source code for new network science and NLP methods to draw novel insights from social media data
• Applied domain expertise and qualitative inquiry during data collection, model development, and analysis to produce robust results
• Constructed several automated, reproducible data pipelines for colleagues across multiple research labs to use
• Communicated results to interdisciplinary audiences of computer scientists, physicists, political scientists, communication researchers, and many others

• Monitored coordinated activity on the platform by performing unsupervised clustering on networks with billions of edges
• Informed product and policy decisions of the Civic Integrity, Virality Monitoring, and Political Organizations & Society teams on coordinated inauthentic behavior and misinformation

Marina Del Rey, California, US

• Developed a novel topic model (CorEx) capable of incorporating domain knowledge through "anchor words"
• Extended the existing Python codebase to improve its interface and ease of use
• Benchmarked the topic model against unsupervised and semi-supervised variants of LDA
• Validated the topic model's performance through new, domain-relevant metrics
• Applied the topic model to disaster response articles and clinical health notes to improve downstream document classification

Burlington, Vermont, US

• Wrangled many terabytes of historical social media data using Python and high-performance cluster computing
• Applied social network and natural language processing models to research counter-protest deterrence of online activism
• Developed an open-source Python package for visualizing word-level differences between text datasets, including sentiment differences

Burlington, Vermont, US

• Taught introductory discrete math and calculus courses as instructor of record

Storrs, CT, US

Storrs, CT, US

Raleigh, North Carolina, US

• Conducted research on discrete curvature flows through computational simulations

Storrs, CT, US

• Tutored student athletes in precalculus, introductory statistics, and calculus

East Lansing, MI, US

• Conducted computational research on solving partial differential equations using a novel random walk approximation

Doctor Of Philosophy - Phd, Network Science

Master’S Degree, Mathematics

Bachelor Of Arts (B.A.), Mathematics