Software

 is a Python-based web application for analyzing chemical reaction networks. It enables users to generate stoichiometric and atomic matrices, perform basic reaction and mass balance analysis, and export structured data for further use. The tool is intended to assist researchers working with reaction mechanisms and network data.

is a web-based platform for managing research projects and collaboration, created to address the pain point of needing a simple, practical tool for everyday research work. It allows users to create projects, collaborate in shared workspaces, and keep project information synchronized in real time, without unnecessary complexity. The tool is free to use and focuses on a straightforward, intuitive UI that centralizes tasks and project data to support core research workflows in a single interface.

is a free, open-source Chrome extension that simplifies online job applications by securely autofilling forms with your resume data. It reduces repetitive manual entry across common job platforms, helping users apply faster and more accurately while keeping all data stored locally in the browser.

is an open-source workflow for quantitative analysis of a Temporal Analysis of Products (TAP) reactor's mass spectrometry (MS) .tdms data. It implements core algorithms to convert raw time-resolved MS signals into absolute molar flux, enforce mass balance, and extract meaningful kinetics from experiments. The repository’s wiki documents key equations, parameters, and methods used in transient pulse shape analysis.

is an interactive tool for visualizing Gaussian Process regression behavior across kernels. It shows predictions, uncertainty, and hyperparameter effects with custom data input and kernel combinations.

is an open-source biomedical intelligence platform for exploring genes, variants, drugs, and clinical evidence. It combines transparent genomic interpretation, literature discovery, and knowledge graphs with an MCP server that enables AI agents to query, validate, and trace evidence to its source. Made as a result of the Built with Claude: Life Sciences Hackathon

is a python package for mixed-effects statistics and pharmacometrics. It allows users to define scientific models as a typed, versioned intermediate representation, which can then be processed by various compatible estimation engines. Github | PyPI | Documentation