# Introduction: New contributor to PyMC for GSoC 2026

**URL:** <https://discourse.pymc.io/t/introduction-new-contributor-to-pymc-for-gsoc-2026/17524>\
**Category:** General\
**Created:** [January 14, 2026, 4:20pm UTC](https://discourse.pymc.io/t/introduction-new-contributor-to-pymc-for-gsoc-2026/17524 "2026-01-14T16:20:41Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![souro.x](https://avatars.discourse-cdn.com/v4/letter/s/a698b9/32.png) [@souro.x](https://discourse.pymc.io/u/souro.x)\
**Post date:** [January 14, 2026, 4:20pm UTC](https://discourse.pymc.io/t/introduction-new-contributor-to-pymc-for-gsoc-2026/17524/1 "2026-01-14T16:20:41Z")

</div>

Hi everyone, I’m a student interested in GSoC 2026 I’ve been learning Bayesian basics by building a small A/B testing tool using Beta-Binomial math: [GitHub - souro26/bayesian-a-b-testing: Bayesian A/B testing tool using beta-binomial conjugate priors](https://github.com/souro26/bayesian-a-b-testing)

I’m currently moving into PyMC by working through the GLM and Rat Tumor examples. I’d love to help out with any contributions as i learn.

Any advice on where to start would be great.