PyLadies Paris Python Talks #21

Dear PyLadies 💚🐍

Our next on-site event is coming on the 19th of November featuring
𓆙 Dea Maria Leon and Nisma Amjad: **.**
and continuing with
⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h30 - 19h00 Come and take your seat

19h00 - 19h15 Welcome by PyLadies Paris and Criteo

19h15 - 19h45 Scikit-learn models’ visualizations and a journey into open source

19h45 - 20h15 An Interactive Tool for the Exploration of Low-Dimensional Embeddings in Omics Data

20h15 - 20h30 Lightning talks

20h30 - 22h00 Snacks and Networking

🌟 Dea Maria Leon
Talk Title: Scikit-learn models’ visualizations and a journey into open source
Abstract: Scikit-learn now makes it easier to explore estimators by displaying their parameter values and allowing them to be copied. In the next release, each parameter will also include a short documentation preview and a link to the full reference page.
More enhancements are on the way to make model inspection even richer and more intuitive. This work blends front-end development with Python.
Dea's path into open source and the PyData ecosystem started with a desire for a new career direction and a lifelong curiosity for technical challenges.

About Dea: Freelance open-source developer currently contracted by NumFOCUS to contribute to Scikit-learn. Previous collaborations include work on pandas (NumFOCUS) and pydata/Sparse (Quansight Labs). Former Electrical Engineer with experience in manufacturing in Mexico and the U.S., later transitioning into business and financial analysis after completing an MBA in Finance. Self-taught in software development, with professional opportunities emerging through PyData, PyLadies, and WiML sprints led by Scikit-learn and pandas core developers.

🌟 Nisma Amjad
Talk Title: An Interactive Tool for the Exploration of Low-Dimensional Embeddings in Omics Data
Abstract: In the analysis of diverse omics data, a common and important preliminary step involves computing low-dimensional embeddings using techniques such as PCA, UMAP, t-SNE, or variational autoencoders. These embeddings provide a global overview of sample distributions and their relationships, often serving as the basis for formulating biological hypotheses. To facilitate rapid and intuitive exploration of such low-dimensional embeddings, we developed Yomix, an interactive omics-agnostic visualisation and data exploration tool. Yomix enables users to flexibly define subsets of interest using a lasso selection tool, instantly compute their feature signatures, and compare their distributions. Yomix is a fast and efficient tool for interactive exploration of diverse omics datasets.
About Nisma : Nisma Amjad is a Research Engineer at ISIR, Sorbonne University, working with Institut Curie on AI-driven oncology research. She specialises in digital pathology, medical imaging, and multi-omics, and is passionate about advancing cancer diagnostics through data-centric AI. A dedicated open-source contributor, she developed Yomix, a Python toolkit for interactive multi-omics analysis, and actively supports community-driven scientific software. With an Erasmus Mundus MSc in Medical Imaging & Applications and a strong background in biomedical engineering, she is committed to developing impactful, accessible AI tools that accelerate cancer research and clinical insights.

Criteo will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Andrey and Sonia from Criteo for all the support.

Important info

#1:❗For safety reasons, the venue's staff will check everyone's identity on site. 📝Please remember to bring an ID with you and register for the event with your real name and family name. Thank you!

#2: Please be on time. We can’t guarantee a seat once the meetup has started

# 🔍 FAQ

Q. I'm not female, is it ok for me to attend?

A. Yes, PyLadies Paris events are open to everyone at all levels.