Albert Weichselbraun is a Professor of Information Science at the
Swiss Institute for Information Research at the University of Applied
Sciences of the Grisons in Chur, and cofounder and Chief Scientist at
webLyzard technology.
Before his current affiliation, he held a position as an Associate
Professor at the Vienna University of Economics and Business and was a
Visiting Research Fellow and Visiting Professor at the University of
Western Australia. Albert has been the principal investigator and
- Artificial Intelligence: Why Explanations Matter
Hi, I help AI/ML companies and their AI/data scientists turn ML models from the data lab into PoCs, MVPs, or fully functional products that convincingly prove their value to investors and other important decision-makers.
By using #Python and #AWS as superpowers, I help people get real business value from their ML algorithms.
- Code Makeover: Mastering the Art of Python Refactoring
Throughout my studies in electrical engineering, I focused on projects with a societal impact, especially in the medical field, where I often used Python for development. After completing my master’s degree this year, I now work at the Eastern Switzerland University of Applied Sciences, where I am eager to embrace new challenges that drive social change. Motivated by the potential of technology to improve lives, I am always excited to collaborate on projects that combine innovation with purpose.
- Empowering Independence: Robot-Assisted Shopping for the Visually Impaired with Product Recognition
Engineer, researcher, entrepreneur. Emanuele earned his PhD in AI by researching time series forecasting. He was a guest researcher at EPFL Lausanne, and he's now the Head of AI at xtream. He published 8 papers in international journals, presented and organized tracks and workshops at international conferences, including AMLD Lausanne, ODSC London, WeAreDevelopers Berlin, PyData Berlin and Paris, PyCon Florence, and lectured in Italy, Switzerland, and Poland.
- The hitchhiker's guide to asyncio
- From SHAP to EBM: Explain your Gradient Boosting Models in Python
Florian Bruhin ("The Compiler") is a long-time contributor and maintainer of
both the pytest framework and various plugins. He discovered pytest in 2015 -
since then, he has given talks and conducted workshops about pytest at various
conferences and companies. His primary project, qutebrowser (a keyboard-focused
web browser), has grown from a hobby to a donation-funded part-time job.
- Property based testing with Hypothesis
Francesc is a MSc Data Science student at ETH Zürich. Before that, he graduated in Maths & CS at the Polytechnic University of Catalonia (UPC) with a year abroad at Columbia University. He joined QuantCo as an intern in February 2024 to work on causal inference and its applications to insurance and fraud detection.
- Learning From Experiments With Causal Machine Learning
I am currently a Staff Data Scientist at Wrike, where I work on enabling new generative AI features in production. Previously, I led custom enterprise solution development for visual search and built multi-modal retrieval systems. I also help maintain MTEB in my spare time. My background is in Aerospace Engineering and Machine Learning and I hold undergraduate and graduate degrees from the University of Toronto.
- Prototype to Production for RAG applications
Dr. Jan Werth started his professional life as a carpenter. After realizing, that construction sides are fun but hard on your back, he studied Electrical engineering (EE), finishing with a PhD within the signal processing group of the TU/e (NL).
He gained his first patented Med-Tec data-science solutions while working for Philips Research in 2014. From 2018 he focussed on AI-accelerators and switched in 2020 to AI-consulting at Eraneos.
Overall, he has well over 10 years of experience in DS.
- Even if we desperatly want to, we do not always need Deep Learning
Hey all 👋
I'm a Data Scientist at celebrate company by day and an AI storyteller by night.
After experiences in research at Fraunhofer Fokus Institute and tinkering with sensor setups for autonomous vehicles, I decided to get more hands-on and joined celebrate company, where I'm now helping our customers to design amazing products with the help of Machine Learning.
I hold a Master's degree in Computer Science with a focus on cognitive systems from TU Berlin.
- More Than Pixels - Unlock your image data with Vision-Language Models
Kevin is a Data Scientist at QuantCo, where he's been working with insurances on fraud detection, risk modelling and policy learning. In the past two years he's gotten into the field of Causal Inference. Prior to joining QuantCo, he majored in Computer Science at ETH in Zurich - focusing on Theoretical Computer Science and Machine Learning. He's passionate about Open Source and is the organizer of the PyData Zurich meetup.
- Learning From Experiments With Causal Machine Learning
Cloud Evangelist, Python trainer and programmer (since 2008). Warsaw Python community member. Author of patents in Orange Labs. Linux and Open Source proponent.
- Float - Everything You Wanted to Know About
Hi, I'm Luca, a systems engineer at onway. A lot of my job revolves around automating things. I work on everything from our mobile routers, which we use to operate complete vehicle fleets in the public transport sector, to our own internal infrastructure.
I love network automation. It's pretty amazing if you can set up a complete network across multiple different systems with the click of a button. Not many people know about network automation, so I'd like to show you more about it.
- Automate your network in 5 easy steps with Python and Netmiko
Neil Gibbons is a Backend Engineer with a passion for big data. After an MSc in Data Science, he pivoted to software engineering, focusing on distributed systems. Now pursuing another MSc, he's eager to share his experience and delve into Apache Spark's inner workings at the Swiss Python Summit.
- Demystifying Spark: A Deep Dive into Its Workings
PhD in Computer Science. Ex-Lead Data Scientist in Gibraltar. Quantum Machine Learning Researcher at the Institute of Computer Science (ZHAW).
- Quantum Machine Learning: Qiskit 1.X vs PennyLane 0.X
Computer science graduate with 10 years of experience in software development.
Have been working with Python for the last 9 years. Currently working with Astrazeneca, developing a data science platform.
- Leveraging Pydantic for Data Validation
I led the development of a stock-trading platform for 8 years. Some bits of C++ and Cython aside, the platform was mainly a Python-based distributed system. Scaling and performance optimisation became not just a necessity but a passion for me. I've since returned to my freelance & consulting roots, and still enjoy helping clients with tough Python problems. Strangely, I've never studied computer science and often run away from all technology into the mountains, forests, and seas of our planet.
- Parallel Python at last? Subinterpreters & free-threading in practice