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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.

  • 4 Similar Profiles
Genes Engineering & Materials Science
Gene Expression Medicine & Life Sciences
Biomarkers Engineering & Materials Science
Viruses Engineering & Materials Science
Modeling Mathematics
Genome Medicine & Life Sciences
Learning systems Engineering & Materials Science
Phenotype Mathematics

Research Output 2011 2019

70 Downloads (Pure)

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
artificial intelligence
Learning systems
Machine Learning
Genome
learning

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
Biomarkers
Viruses
Genes
Fluxes
97 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
Aging of materials
Gene Expression
Modeling
Gene expression
Genes
109 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
Gene Expression
Metabolic Networks and Pathways
Parturition
Genome
T-Lymphocytes

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

Students
Speech communication
evaluation
personalization
student