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Dr Yang Yang

Dr Yang Yang
Lecturer in Chemical Engineering

Summary

Dr. Yang is a Lecturer in Chemical Engineering.  She received her Bachelor and Master degree from Tianjin University and PhD degrees from Leeds University. She worked as a research associate at Imperial Colleage London and University College London.

Dr. Yang is a researcher with multidisciplinary academic background in Computer Science (Data Mining and Machine Learning) and Engineering (Chemical Engineering, Biochemical Engineering). Her extensive research interest in Machine Learning applications in cross-field area, especially in bioprocessing and healthcare. 

Qualifications

 PhD in Chemical Engineering, Leeds University, UK, 2011

MSc in Computer Science, Tianjin University, China, 2007

BSc in Computer Science, Tianjin University, China, 2004

Newest selected publications

Yang, Y., Xu, L., Sun, L., Zhang, P. and Farid, SS. (2022) 'Machine learning application in personalised lung cancer recurrence and survivability prediction'. Computational and Structural Biotechnology Journal, 20. pp. 1811 - 1820. ISSN: 2001-0370

Journal article

Zhang, H., Yang, Y., Zhang, C., Farid, SS. and Dalby, PA. (2021) 'Machine learning reveals hidden stability code in protein native fluorescence'. Computational and Structural Biotechnology Journal, 19. pp. 2750 - 2760. ISSN: 2001-0370

Journal article

Yang, Y., Velayudhan, A., Thornhill, NF. and Farid, SS. (2017) 'Multi-criteria manufacturability indices for ranking high-concentration monoclonal antibody formulations'. Biotechnology and Bioengineering, 114 (9). pp. 2043 - 2056. ISSN: 0006-3592 Open Access Link

Journal article

Yang, Y., Velayudhan, A., Thornhill, NF. and Farid, SS. (2015) 'Manufacturability Indices for High-Concentration Monoclonal Antibody Formulations', in12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Elsevier. , 37. pp. 2147 - 2152.

Book chapter

Wang, XZ., Yang, Y., Li, R., Mcguinnes, C., Adamson, J., Megson, IL. and et al. (2014) 'Principal component and causal analysis of structural and acutein vitrotoxicity data for nanoparticles'. Nanotoxicology, 8 (5). pp. 465 - 476. ISSN: 1743-5390

Journal article
More publications(11)