Software & Open Source

Software People Rely On

A method that stays in a paper doesn’t change how anyone works, so I write and maintain software to put the ideas I develop into people’s hands, drawing on the years I spent on the engineering and security side of data work in industry.

Packages

Maintained Software

forkflow

Specify, run, and report vibration-of-effects and specification analyses. Turns a set of defensible analytic choices into a reproducible grid of results, with reporting that carries the spread rather than hiding it. Ships with a companion Quarto book.

author and maintainer

ReproducibilityMethodsSource

aws.s3

A client for Amazon Simple Storage Service, used across the R ecosystem for cloud data access. More than 50.6 million downloads from the Comprehensive R Archive Network.

contributor and former maintainer

Cloud infrastructure50.6M downloadsSource

Shiny applications

Interactive applications for teaching statistical thinking and for exploring analytic choices, used in workshops and in the classroom.

Peer Review

Reviewing Software as Scholarship

Research software deserves the same scrutiny as a manuscript. I review submissions for the Journal of Open Source Software, rOpenSci, and pyOpenSci, assessing correctness, documentation, test coverage, and whether a package will still work for someone in three years.

Software referee, the Journal of Open Source Software, rOpenSci, and pyOpenSci.
Journal referee, Journal of Machine Learning Research, Transactions on Machine Learning Research, and The R Journal.
Instructor and lesson maintainer, The Carpentries.

Before the PhD

Industry Practice

I spent seven years working with data in industry before starting my doctorate, as a data scientist, an information security analyst, and a consultant. That work is why the security and governance thread in my research exists: I have been on the side of the table where a pipeline has to keep running, a dataset has to stay protected, and a decision has to be defended to someone who did not write the code.

Artificial intelligence safety, policy, and governance: independent advisory work for Google DeepMind, Anthropic, and OpenAI on the safety and governance of frontier AI systems.
Data science: modelling, pipeline engineering, and analysis in production, including breast cancer risk modelling with the Athena Breast Health Network as a data scientist at Pacific Life, and selection to the McKinsey & Company Insight program (one of roughly one hundred from a field of more than two thousand).
Consulting and strategy: a strategy and analytics consultant at Deloitte, translating statistical findings for the people who have to act on them.
Information security and privacy: security analysis and data governance, carrying Global Information Assurance Certification Security Essentials (GSEC) and designation as a OneTrust Fellow of Privacy Technology.

Working Together

I take on selected consulting and advisory work in study design, analytic reproducibility, and the security of AI systems used on sensitive data. Get in Touch.

Community

Open Source & Community

I founded and led the Irvine chapter of R-Ladies Global, growing it to more than 630 members across thirty-five meetups, and I co-organize R-Ladies Baltimore, now more than 1,420 members across forty meetups, both rated 4.8 out of 5 by the people who came. In all, that’s seventy-five meetups reaching a combined membership of more than 2,050 statisticians, data scientists, and students. I previously served on the R-Ladies Global leadership team.