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Personal profile

Academic Biography

I teach on various modules at both undergraduate and postgraduate level. I am a senior fellow of the HEA. I am currently working as a University Teaching Fellow with a focus on the student experience. I have been involved in multiple projects including supporting international students adjust to the UK educational culture, ipads for learning, inquiry-based learning to facilitate research informed teaching and group work and educating students about the importance of good quality sleep for wellbeing and academic performance. I act as a mentor for staff progressing towards fellowship/senior fellowship of the HEA.

Summary of Research Interests

I am interested in the fields of Computational Biology and Biomechanics, and have experience of using Matlab and R to interpret and visualise large gene expression datasets using machine/deep learning and to perform constraint-based modelling using flux balance analysis. I am also interested in the development of technology for clinical and sporting biomechanical analysis.

Learning and Teaching Interests and Activities

I am particularly interested in inquiry-based learning and research informed teaching.

Fingerprint Dive into the research topics where Elisabeth Yaneske is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output

Machine and deep learning meet genome-scale metabolic modeling

Zampieri, G., Vijayakumar, S., Yaneske, E. & Angione, C., 11 Jul 2019, In : PLoS Computational Biology. 15, 7, 29 p., e1007084.

Research output: Contribution to journalArticle

Open Access
File
  • 99 Downloads (Pure)

    Mechanistic effects of influenza in bronchial cells through poly-omic genome-scale modelling

    Yaneske, E. & Angione, C., 16 May 2018, (Accepted/In press).

    Research output: Contribution to conferencePaper

    File
  • 21 Downloads (Pure)

    The poly-omics of ageing through individual-based metabolic modelling

    Yaneske, E. & Angione, C., 20 Nov 2018, In : BMC Bioinformatics. 19 , (Suppl 14), 415.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 138 Downloads (Pure)

    A data- and model-driven analysis reveals the multi-omic landscape of ageing

    Yaneske, E. & Angione, C., Apr 2017.

    Research output: Contribution to conferencePaper

    Open Access
    File
  • 135 Downloads (Pure)

    Using voice boards: Pedagogical design, technological implementation, evaluation and reflections

    Yaneske, E. & Oates, B., 1 Nov 2011, In : Journal of Asynchronous Learning Network. 15, 4, p. 69-83 15 p.

    Research output: Contribution to journalArticle

  • 2 Citations (Scopus)