Agenda 📣📣We are happy to announce the 44th PyData Cambridge meetup!📣📣 Agenda: 18:45 - 🚪 Doors open (Please do not arrive earlier) 19:00 - ▶️ Introduction 19:15 - 🗣 Adventures in AI, by Dan Ormsby, Dotmatics. 19:50 - 🍕 Interval - pizza and drinks provided 20:15 - 🗣Operational Guidance for a Successful Data Science and AI Team, by Anton Schwaighofer, Microsoft Research Cambridge. 20:50 - 🍻 End (Pub - Station Tavern, Station Square, map here).

This event is sponsored by the Raspberry Pi Foundation. ----------------------------------------------------------------

Abstracts

Adventures in AI Dan Ormsby Dan will cover his Python-driven services for high-performance AI applications used in the pharmaceutical industry. Neural Networks and drug-like molecule databases of billions of compounds will be covered. How do you query a billion objects in Python quickly? Dan will show how to cheat with custom C code to extend Python to enable new tricks.

Demo site - https://do.dotmatics.net/

Operational Guidance for a Successful Data Science and AI Team Anton Schwaighofer This presentation is a roadmap for running a successful Data Science and AI team. It advocates for a focus on experimental agility, and what is needed to achieve that from different angles. We'll explore the importance of teamwork and a culture of continuous learning. We'll talk about the importance of testability, reproducibility, and learning from mistakes. Also, we'll discuss sharing results and insights within the team to foster collective learning. Lastly, we'll circle back to data quality, emphasizing its crucial role in model performance. ----------------------------------------------------------------

Speakers Bios

Dan Ormsby holds a PhD in Cheminformatics and has worked in scientific software for 20+ years. He is a Senior Consultant at Dotmatics Ltd, where he contributes to the Dotmatics chemistry toolkit with a recent focus on AI.

Anton Schwaighofer is a Principal Research Software Engineer in the Health Futures team at Microsoft Research Cambridge. In this role, he has worked on different aspects of medical imaging, ranging from 3D segmentation of CT scans to the classification of histopathology images and to multimodal analysis for chest x-rays and reports. He also oversees the team’s engineering efforts and their various open-source projects. Prior to this, he has spent almost a decade in online advertising, where he led a large effort to create a massive-scale simulator for auction marketplaces. He holds a PhD in machine learning, a first-class passion for functional programming, and extensive experience with learning from datasets in the Megabytes to Petabytes range. ----------------------------------------------------------------

Code of Conduct PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form. The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behaviour of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen ([email protected]) or organizers.