PyCon DE & PyData 2025

Daniel Hieber

Hi, I'm Daniel, a PhD student in digital neuropathology at Julius-Maximilians-University Würzburg and a research associate at the University Hospital Augsburg as well as Neu-Ulm University of Applied Sciences. My work focuses on applying computer vision techniques to automate analysis processes in the pathological departments and provide physicians with the tools to conduct machine learning on their own.


LinkedIn

www.linkedin.com/in/daniel-hieber


Sessions

04-24
09:00
180min
Mini-Pythonistas: Coding, Experimenting, and Exploring with Zümi!
Dr. Marisa Mohr, Anna-Lena Popkes, Hannah Hepke, Daniel Hieber

Please note, this is a children's workshop. Recommended age 10-16 years. Experienced use of keyboard and mouse, first words in English (for programming) are required. //

Welcome, mini-Pythonistas! In this workshop, we’ll dive into the world of Zümi, a programmable car that’s much more than just wheels and motors. With built-in sensors, lights, and a camera, Zümi can learn to recognize colors, respond to gestures, and even identify faces — all with your help!

PyData: Embedded Systems & Robotics
Carbonium
04-25
14:40
30min
What do a tree and the human brain have in common-a not so serious introduction to digital pathology
Daniel Hieber

While trees and human brains don't share that many properties regarding their domain, the analysis of the height of a tree and cancer in human brains does.
This talk provides a not-so-serious introduction to the domain of computer vision for pathological use cases.
Besides a general introduction to (digital) pathology and the technical similarities between satellite images (GeoTIFs) and pathological images (Whole-Slide Images), we will take a look at computer vision (both ML-based and conventional) on Python.
Whether you have never done image processing in Python, are an expert (ready to share some tricks with me), or are just curious to see pictures of a human brain, this talk is for you.
Warning: this talk contains quite abstract pink-ish pictures of human tissue (and trees^^). If you are unsure this is something you are comfortable with (have a friend), do a quick search for "HE-stained whole-slide image".

PyData: Computer Vision (incl. Generative AI CV)
Europium2