Damon Wischik
I am a University Lecturer in the University of Cambridge's Computer Laboratory. I am a data scientist—a mathematical modeler, a programmer, and a data artist. About me…
Research
How should we do science, when machines can learn much more accurate models of the world than humans can?I work in machine learning, and I approach it as a probabilist and a statistician. My research is on theoretical modelling questions — how we can train neural networks to distinguish causes from symptoms? how can we extract meaningful measures of uncertainty? These are questions that have been studied by statisticians for nearly a century, and machine learning can benefit from concepts that statisticians have developed, but it also needs new approaches because of its near-infinite expressive power.
At the practical end, I work on applications in areas such as medicine, climate science, transport, and communications. And I am irrestistably drawn to data visualization. Read more…
Teaching
- IA Scientific Computing
- IA Algorithms 1 & 2
- IB Data Science
- RSP OU28 Quantitative methods for small data
- AI4ER unit on Data visualization
- Modelling and Machine Learning summer course, 2023
- III/ACS Probabilistic Machine Learning (LE49)
- OU24 Visualizing data with R graduate skills course
- II Data Science Principles and Practice contributor
- III/ACS Advanced topics in machine learning (R250) — Autoencoders
- Network Performance for MScDCNDS at UCL, 2006–2011
- R for Programmers for graduate students at UCL, 2010–2011
- Large Deviations and Queues for Part III Mathematics at Cambridge, 2001–2005
- PhD students: Dr James Cruise and Dr Christopher Plunkte.