[talk] PyData Lausanne April 2024 - Biotech Edition

PyData Lausanne in collaboration with Biopôle, are pleased to invite you to the next PyData event!
We will have three speakers working in biotech, sharing how modern techniques and tools accelerate the progress in the field.

After the talks we will be able to chat altogether around an apéro offered by Biopôle.

👇 👇👇 Here's the program 👇 👇👇

Welcome and presentation of Biopôle
by Pierre-Jean Wipff

Protein inpainting with ProtFill
by Elizaveta Kozlova
ProtFill introduces a novel machine learning approach to predict missing amino acid sequences in proteins, making a step towards designing proteins with arbitrary functions.

MLOps in healthcare, a first approach using kedro
by David Castellano Falcón
This talk showcases the adoption of MLOps in healthcare through Kedro, addressing challenges in machine learning workflows and emphasizing the need of pipelines and their visualizations

Fast Computational Biology: Leveraging Python with Rust and C++ Backends
by Thomas Vetterli
Python is a good tool for interactive data analysis - but sometimes lacks in performance for complex algorithms needed in computational biology. In this talk we will walk through the benefits of combining a Rust / C++ backend to run analyses with a high compute need and how to use it seemlessly form python using pybind11 or PyO3.

Apéro!
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NOTES

• PLEAS RSVP: If your status changes, change your RSVP accordingly! This enables us to manage reservations.
• If you are on the waiting list: we will do our best to increase the number of seats, so stay tuned