Christian Walder

Christian Walder

Research Scientist
Honorary Visting Fellow

Google DeepMind

Australian National University

Welcome

I am a Research Scientist in the Machine Learning for Code team at Google DeepMind. I’m also an adjunct at the Australian National University.

Interests
  • Theorem proving (papers)
  • Bayesian machine learning (papers)
  • Point processes (papers)
  • Kernels and Gaussian processes (papers)
  • Recommender Systems (papers)
  • Reinforcement learning (papers)
  • Machine learning for symbolic music (papers)
Education
  • PhD in Machine Learning, 2007

    Max Planck Institute / University of Queensland

  • BE (elec) hons. 1, 2001

    University of Queensland

Experience

 
 
 
 
 
Research Scientist
Jul 2022 – Present
I am a researcher in the Machine Learning for Code team.
 
 
 
 
 
Activity Leader and Senior Researcher
Jan 2015 – Jul 2022 Canberra
My time is divided between academic research, supervising industrial work for CSIRO, and postgraduate supervision in machine learning. I have also jointly (2017-2019) and solely (in 2020) taught the Statistical Machine Learning course at the ANU.
 
 
 
 
 
Quantitative Analyst
Jan 2011 – Jan 2015 London UK
I joined the methodology research team at Man AHL. Initially I analysed and improved upon aspects of the existing forecasting models and trade sizing optimisation techniques. More recently I have progressed to the point of researching and implementing highly novel short-term equities strategies, which are trading profitably at present.
 
 
 
 
 
Postdoctoral Researcher
Jan 2008 – Jan 2010 Copenhagen Denmark
I supervised machine learning projects at DTU while developing state of the art probabilistic semi supervised learning algorithms and developing high performance parallel processing numerical routines in C++ with CUDA.
 
 
 
 
 
Postdoctoral Researcher
Jun 2007 – Jan 2008 Tübingen Germany
Jointly funded by the Schölkopf (machine learning) and Bülthoff (psychophysics) sections of the MPI I collaborated on data visualisation, efficient machine learning approaches to facial capture, and theoretical contributions to kernel methods.
 
 
 
 
 
Research Technologist
Jan 2001 – Jan 2002 Melbourne Australia
After my undergraduate degree, I joined the artificial intelligence section of TRL. I implemented and analysed statistical credit risk models in the SAS language, and developed natural language processing algorithms in C++.

Contact

  • cwalder (at google dot com) OR christian dot walder (at anu dot edu dot au)