Christian Walder

Christian Walder

Activity Leader
Senior Researcher
Honorary Visting Fellow

Data61 (formerly NICTA)

Australian National University

Welcome

I am an activity leader and senior researcher within the Machine Learning Research Group at Data61 in CSIRO, which subsumed my previous employer, NICTA. I also serve as an Adjunct Professor at the Australian National University where I have convened a machine learning course and continue to supervise postgraduate research students.

Interests
  • Bayesian machine learning (papers)
  • Point processes (papers)
  • Kernels and Gaussian processes (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

 
 
 
 
 
Activity Leader and Senior Researcher
Jan 2015 – Present 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++.

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