Data Science Colloquium
The Data Science Colloquium is an event jointly organized by DASHH, the Center for Data and Computing in Natural Sciences (CDCS), the clusters of excellence CUI - Advanced Imaging of Matter and Quantum Universe of the Universität Hamburg (UHH), the Department of Informatics of the UHH, the Institute of Mathematics of the Hamburg University of Technology and ahoi.digital - the Alliance of Hamburg Universities for Computer Science.
These events are an ideal opportunity to meet renowned scientists and discuss recent Data Science challenges.
Please subscribe here for news and Zoom links regarding our colloquia or contact dashh-office@desy.de for the individual Zoom link of an online event!
Topics
Statistical Challenges in Protein Dynamics Modelling
Deep Learning meets Shearlets: Explainable Hybrid Solvers for Inverse Problems in Imaging Science
Deep Learning for Molecular Physics
Enzyme function - much to understand, optimize, and discover
Machine Learning for X-Ray and cryoEM at SLAC
Invertible Neural Networks and their Applications in the Sciences
Geometric Deep Learning: From Euclid to Drug Design
- Watch a similar talk of Prof. Bronstein on YouTube
A Methematical Perspective of Machine Learning
Introducing JUNE - an open-source epidemiological simulation
Quantum Machine Learning in Chemical Compound Space
- Watch the talk of Prof. von Lilienfeld on YouTube
The Inductive Bias in Machine Learning
Big Data, Artificial Intelligence & Ethics