I develop open-source tools to help researchers conduct more rigorous and efficient work — lowering the barrier to systematic review, meta-analysis, and open-access literature workflows without requiring specialized programming knowledge. All tools are free to use.
Designed as a pipeline — from retrieving full texts, to extracting data, to running the analysis.
Automates the tedious step of locating open-access versions of papers in a reference list. Give it a CSV of references and it returns direct PDF links or the article landing page — saving hours during literature review.
An LLM-powered tool that reads PDFs and extracts structured coding data for systematic reviews and meta-analyses. Upload your coding schema, set up your AI tools, and upload your paper. The tool extracts data for you to review for your coding form — dramatically reducing the manual effort of primary study coding.
A lightweight meta-analysis tool designed for researchers who need to run a quick effect-size synthesis without wrestling with R packages. Supports conventional and three-level meta-analysis, including robust variance estimation, with Hedge's g effect sizes with forest plot output, heterogeneity statistics (I², Q), and publication bias diagnostics.