The PhD defence will be partially digital, in Kristen Nygaards sal (5370), Ole-Johan Dahls hus and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the attending audience at Kristen Nygaards sal to ask ex auditorio questions.
Trial lecture
«Regularisation approaches for machine learning»
Time and place: January 19, 2024 11:15 AM, Kristen Nygaards sal (5370), Ole-Johan Dahls hus/ Zoom
Main research findings
Every day, our immune system fights off potential threats such as viruses, bacteria or cancer cells. The key molecules used to recognise and memorise these antigens are so-called ‘adaptive immune receptors’. Recent technological advancements allow us to read the DNA sequences of these immune receptors, and analyse them using machine learning algorithms. Such algorithms can be used to predict the antigen binding targets of immune receptors, which may be used to design therapeutic drugs. Alternatively, one could train algorithms to diagnose a range of diseases based on a single blood sample. In this thesis, Lonneke Scheffer and colleagues have developed immuneML, a software platform for the machine learning analysis of adaptive immune receptor data. immuneML can be used to develop and compare machine learning methods for antigen binding or disease prediction. Furthermore, a tool named CompAIRR was created for the ultra-fast and memory efficient comparison of large repertoires of immune receptors. CompAIRR can be used as a stand-alone tool, but has also been used to speed up components of immuneML. Lastly, a new method was integrated into immuneML, to test the hypothesis whether antigen binding and non-binding immune receptors can be distinguished based on the presence of short motifs.
Adjudication committee:
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Associate Professor Pieter Meysman, Department of Informatics, University of Antwerp, Belgium
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Dr. María Rodríguez Martínez, IBM, Zurich Research Laboratory, Switzerland
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Professor Xing Cai, Department of Informatics, University of Oslo, Norway
Supervisors:
- Professor Geir Kjetil Sandve, Department of Informatics, UiO
- Associate Professor Victor Greiff, Department of Immunology, UiO
- Professor Bjoern Peters, La Jolla Institute of Immunology, San Diego
Chair of defence:
Contact information at Department: Pernille Adine Nordby