⚠️ There was a change of speakers ⚠️

Dear PyLadies 💚🐍

Our next on-site event is coming on the 20th June at TOO GOOD TO GO, featuring:

𓆙 Sami Kaddani from TOO GOOD TO GO talk title: Leveraging Metaflow to manage ML pipelines in production

𓆙 Maria Teleńczuk from Owkin talk title: Federated Learning for Biotech

And ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h50 - 19h00 Come and take your seat

19h00 - 19h10 Welcome by PyLadies Paris and TOO GOOD TO GO

19h10 - 19h40 Talk by Sami Kaddani (TOO GOOD TO GO)

19h40 - 20h20 Talk by Maria Teleńczuk (Owkin)

20h20 - 20h30 Lightning talks

20h30 - 21h30 networking

🌟 Sami Kaddani (TOO GOOD TO GO) Talk title: "Leveraging Metaflow to manage ML pipelines in production" Abstract: Transitioning from prototype to production in an ML project can be approached in various ways. Traditionally, this involves structuring code as Direct Acyclic Graphs (DAGs), which map out steps and their interdependencies. In this talk, we will showcase how we utilize Metaflow, a data scientist-oriented tool, to bring our DAGs to life. We will start with an overview of Metaflow's base concepts, then discuss key decisions we made to: version data and models, transition between prototype/staging/production phases, and integrate with other components in our tech stack.

About Sami: He is a machine learning engineer for Too Good To Go Platform (B2B activity of Too Good To Go). Three things that motivates him the most are using an analytical approach to have an impact, working as a team to make a difference and the continuous learning opportunity that machine learning provides.

🌟 Maria Teleńczuk Talk title: "Federated Learning for Biotech" Abstract: The Talk is targeted at anybody 🧑‍🎓 I am going to explain what Federated Learning is before getting into any details I will also give some real-world examples on the federated learning projects at Owkin and will finish discussing open challenges in Federated Learning.

About Maria: I am a senior research scientist in machine learning, advocate for good coding practices and passion for data and biological systems. My background is in computational neuroscience in which I have wrote my doctorate. I am also a Pyladies Paris organizer and contributor to open source such as scikit-learn, PyDeseq2 or FLamby. I am mostly working with Python being a firm believer in an open source and in sharing knowledge and love for tech and science.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 19th June to [email protected]

TOO GOOD TO GO will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚

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.