Christian Walder is a Research Scientist on the Machine Learning for Code team at Google DeepMind. With a PhD from the Max Planck Society, his expertise spans Bayesian machine learning and reinforcement learning. His background uniquely includes experience as a Quantitative Analyst in systematic trading at Man Group AHL before his current focus on AI.
His research has explored unique applications of AI, including the probabilistic modeling of symbolic music and computer-assisted composition, demonstrating a long-standing interest in the intersection of machine learning and creative fields.
He has contributed to major Google AI projects, including the Gemini 2. 5 model.
Christian Walder
Research Scientist at Google DeepMind
Duffy, Australian Capital Territory, Australia
Overview
Topics They Care About
ML for Code
As a member of the Machine Learning for Code team at Google DeepMind, he contributes to cutting-edge models like Gemini 2. 5.
Reinforcement Learning
He co-authored recent papers on novel reinforcement learning techniques, such as Pass@K Policy Optimization, to solve more complex problems.
Algorithmic Music
He has a distinct research interest in modeling symbolic music, publishing papers on computer-assisted composition and representing music for machine learning models.
Media Appearances
Christian has no verified media appearances
Work History
7-2022
Research Scientist at Google DeepMind
1-2017 - 7-2022
AI Leader - Machine Learning and Artificial Intelligence Future Science Platform at CSIRO's Data61
7-2015 - 1-2017
Senior Researcher at NICTA
3-2011 - 5-2015
Quantitative Analyst at Man Group AHL
12-2008 - 11-2010
Research Scientist at Technical University of Denmark
Education
2003 - 2007
PhD from Max Planck Society
1997 - 2000
Bachelor of Engineering (BE) from The University of Queensland
More Information
Social Presence :
Prographics :
Exp : 16
Location : Duffy, Australian Capital Territory, Australia
Job Level : N/A
Designation : Research Scientist at Google DeepMind
