Teaching
MSc Bioinformatics
Between October 2006 and February 2022 I was Programme Director and Chair of Examiners for Birkbeck's long-running and widely respected MSc course. I organised 2 modules (BioComputing I, Data Science) and taught on several additional modules (BioComputing II, Molecular Basis of Life, Omics, Statistics).
Many of my PhD students have been recruited from the course, and act as demonstrators during their studies.
Other Teaching
I gave an annual lecture on Bioinformatics, Immunology and the Future of Stratified Medicine for the Technology Trajectories Module of Birkbeck's MSc Bio-business course, and I ran an annual session on Plagiarism Awareness for the departmental Graduate Studies Programme.
Previous Teaching Duties
- Lead Tutor on the Database Management Systems module of the Bioinformatics Programme at the University of Oxford (2005-11)
- External Examiner for the MSc Bioinformatics and Systems Biology course at Imperial College (2005-2009)
- Admissions Tutor (until February 2011), lectures on Java (Biocomputing II module, until 2008) and Simulating the Human Immune System (Systems Biology module, until 2011) for the MSc Bionformatics with Systems Biology course at BBK/UCL
- Director of the MRes Bioinformatics with Systems Biology course (2012)
- Teaching bioinformatics on the MSc Microbiology, BSc Molecular Biology and Graduate Studies Programme at Birkbeck.
SysMIC
The SysMIC (Systems Training in Maths, Informatics and Computational Biology), a 5-year £1 million project funded by the BBSRC, started in January 2012. I am a co-PI on this project. The first national intake of BBSRC PhD students was in January 2013. For more details, see the SysMIC website.
An overview of SysMIC was presented at the Higher Education Acedemy STEM Annual Learning and Teaching Conference 2014: Enhancing the STEM Student Journey and is available in the Conference Proceedings (Abstract/PowerPoint slides).
L2D
I am co-I on the new L2D (Learn to Discover) course that will provide online training in data science and machine learning techniques for academia and industry.
