|2018-||Postgraduate Admissions Tutor|
|2012-2018||Departmental Athena SWAN Coordinator|
|2007-||Lecturer/Senior Lecturer/Reader in Chemical Engineering (Lonza/RCUK Academic Fellowship)|
|2006-2007||Research and Development Scientist, Lonza Biologics|
|2007||PhD in Chemical Engineering, Imperial College London.
An Integrated Modelling/Experimental Framework for Protein-producing Animal Cell Cultures.
|2002||MEng in Chemical Engineering, Imperial College London|
My interests lie in the area of biotechnology, with particular focus on the application of systems engineering principles to bioprocessing. My research involves the systematic integration of model-based tools, such as sensitivity analysis, design of experiments and optimisation, with experimentation on mammalian cell culture systems. Topics of interest include optimisation of culture media and conditions productivity, protein glycosylation, metabolic flux analysis and multiscale modelling.
interested in our work on vaccine manufacturing?
The DELVE report on SARS-CoV-2 vaccine development and implementation is now available online.
You can also read our latest articles on the topic on Imperial's website and in The Engineer. Dr Zoltan Kis has also contributed to articles in Politico, Chemistry World and Wired, the latter focussing on RNA vaccines.
Not a scientist? Have a look at this short video
Collaborative PhD opportunity with GSK:
Integration of mechanistic and data-driven models to support the transition to continuous biomanufacturing
End-to-end continuous processing is promising to be one of the most significant developments in the space of biologics as it can lead to reduced processing times, reproducible quality and lower manufacturing footprint. Recent studies on CHO cell perfusion systems have already yielded promising results with respect to product quality, including glycosylation, fragmentation and aggregation, for both antibodies and fusion proteins. Given that the past three decades on R&D have focused on fed-batch platform processes, the question becomes how we can harness the knowledge and data already acquired to support this transition from fed-batch to continuous operation. This transition needs to encompass not only key performance indicators, such as productivity, but also quality attributes, e.g. structural product characteristics and the presence of impurities, across monoclonal antibodies and new modalities. To this end, in this project we will develop a combined computational and experimental approach to facilitate knowledge generation and transfer in support of the transition to continuous upstream biomanufacturing.
The project is funded by a BBSRC industrial CASE studentship and covers stipend and tuition fees in full for 4 years starting in October 2021. The position is only available to Home students. Full guidance on eligibility can be found here.
To apply, please send your CV, details of two referees and personal statement to Cleo by January 29.
Congratulations to Elli Makrydaki for successfully defending her thesis!
Congratulations to Chiara Heide for successfully defending her thesis!
et al., 2013, An optimised method for extraction and quantification of nucleotides and nucleotide sugars from mammalian cells, Analytical Biochemistry, Vol:443, Pages:172-180
et al., 2012, Genome-based kinetic modeling of cytosolic glucosemetabolism in industrially relevant cell lines -Saccharomyces cerevisiae and Chinese hamsterovary cells, Bioprocess and Biosystems Engineering, Vol:35, Pages:1023-1033
Kontoravdi C, Pistikopoulos EN, Mantalaris A, 2010, Systematic development of predictive mathematical models for animal cell cultures, Computers & Chemical Engineering, Vol:34, Pages:1192-1198