Teaching

Introduction to Deep Learning with TensorFlow

2017
The Institute of Cancer Research, London, UK (2 day workshop)
Jupyter notebooks

  • Introduced 10-15 staff scientists and PhD students to writing linear regression and classification models using low-level TensorFlow.
  • Included introduction to TensorBoard and canned estimators.
  • Prepared interactive Jupyter notebooks and accompanied exercises.

Introduction to Programming with Python

2016–2017
The Institute of Cancer Research, London, UK (3 day workshop)

  • Introduced 10-15 staff scientists and PhD students with various backgrounds, including non-computational, to the basics of programming in Python.
  • Included introduction to popular Python modules numpy, matplotlib, and pandas.

Linear Classifiers and Support Vector Machines

2012–2014
Machine Learning in Medical Imaging lecture, Technische Universität München, Germany
Lecture slides

  • Introduced 20–30 computer science master students to basic concepts of support vector machines.
  • Prepared and graded accompanied exercises.
  • Supervised students in final projects.

Evaluation Measures

2012–2014
Machine Learning in Medical Imaging lecture, Technische Universität München, Germany
Lecture slides

  • Introduced students to common performance measures for supervised and unsupervised machine learning methods.