We are happy to announce our team of keynote speakers for the PyCon.DE & PyData Berlin, 2023.

Carsten Binnig is a Full Professor in the Computer Science department at TU Darmstadt and a Visiting Researcher at the Google Systems Research Group. Carsten received his Ph.D. at the University of Heidelberg in 2008. Afterwards, he spent time as a postdoctoral researcher in the Systems Group at ETH Zurich and at SAP working on in-memory databases. Currently, his research focus is on the design of scalable data systems on modern hardware as well as machine learning for scalable data systems. His work has been awarded a Google Faculty Award, as well as multiple best paper and best demo awards.

Towards Learned Database Systems

Database Management Systems (DBMSs) are the backbone for managing large volumes of data efficiently and thus play a central role in business and science today. For providing high performance, many of the most complex DBMS components such as query optimizers or schedulers involve solving non-trivial problems. To tackle such problems, very recent work has outlined a new direction of so-called learned DBMSs where core parts of DBMSs are being replaced by machine learning (ML) models which have shown to provide significant performance benefits. However, a major drawback of the current approaches to enabling learned DBMS components is that they not only cause very high overhead for training an ML model to replace a DBMS component but that the overhead occurs repeatedly which renders these approaches far from practical. In this talk, Carsten will present his vision of Learned DBMS Components 2.0 to tackle these issues.

Susan Shu Chang is the founder, Quill Game Studios and Principal data scientist at Elastic. Previously, she built machine learning at scale in the fintech, social, and telecom industries. At Quill Game Studios, she grew the company to 10+ developers and shipped 2 commercial releases on PC and consoles. The studio is currently developing the game “Autumn with the Shiba Inu”. She’s a five-time speaker at PyCons around the world and keynote speaker at the O’Reilly MLOps Superstream.

A journey through 4 industries with Python: Python's versatile problem-solving toolkit

In her keynote, Sunsan will share the lessons learned from using Python in 4 industries. Apart from machine learning applications that she builds in her day to day as a data scientist and machine learning engineer, she also uses Python to develop games for her own gaming company, Quill Game Studios. There is a lot of versatility in Python, and she uses it to solve many interesting problems. Her talk can give inspiration to various types of applications in your own industry.

Miroslav Šedivý was born in Czechoslovakia, and has lived in France, Germany, and Austria and therefore understands a bunch of European languages. With 20+ years of Linux experience and coding with Python since version 2.5, Miro has dedicated most of his career building complex systems using open-source software and libraries to forecast, process, and analyze power generation and distribution data. Miro is also a big fan of OpenStreetMap and helps fill in the gaps on the world map. As a reviewer of the books “Modern Vim” and “Fluent Python (2nd ed.)”, he loves sharing his expertise on the best tools for daily tasks. In 2021, Miro was named a Fellow of the Python Software Foundation.

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A life without joy is like software without meaningful test data - it's uncertain and unreliable. The search for the perfect test data is a challenge. Real data should not be too real. Random data should not be too random. This is a randomly real and a really random journey to discover the balance between these two, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Noa Tamir has been involved with the R and PyData communities for some time, with a focus on community building and DEI. They are a NumFOCUS member of the Board of Directors and DISC committee, PyLadies Organizer, and chaired the PyData Berlin 2022 conference. In addition, they are a Lead Data Science Coach at neue fische, contributing to pandas, and are currently developing the Contributor Experience Community and Handbook with Inessa Pawson and Melissa Mendonça.

How Are We Managing? Data Science Management IRL

The title “Data Scientist” has been in use for 15 years now. We have been attending PyData conferences for over 10 years as well. The hype around data science and AI seems higher than ever before. But How are we managing?