Publications

Yuan Sun, Winton Nathan-Roberts, Tien Dung Pham, Ellen Otte, Uwe Aickelin (2022) Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data, https://arxiv.org/abs/2211.14493

Masih Karimi Alavijeh, Irene Baker, Yih Yean Lee, Sally L. Gras (2022) Digitally enabled approaches for the scale up of mammalian cell bioreactors, Digital Chemical Engineering, https://doi.org/10.1016/j.dche.2022.100040

Chaitanya Manapragada, Tien Dung Pham, Nikitaa Rajan, Uwe Aickelin (2023) Pharmaceutical process optimisation: Decision support under high uncertainty, Computers and Chemical Engineering, https://doi.org/10.1016/j.compchemeng.2022.108100 

Tien Dung Pham, Chaitanya Manapragada, Yuan Sun, Robert Bassett, Uwe Aickelin (2023) A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development, Digital Chemical Engineering, https://doi.org/10.1016/j.dche.2022.100080 

Yiran Qu, Innocent Bekard, Ben Hunt, Jamie Black, Louis Fabri, Sally L. Gras & Sandra E. Kentish (2023) The Transition from Resin Chromatography to Membrane Adsorbers for Protein Separations at Industrial Scale, Separation & Purification Reviews, https://doi.org/10.1080/15422119.2023.2226128 

Tien Dung Pham, Robert Bassett, Uwe Aickelin (2023) Capturing prediction uncertainty in upstream cell culture models using conformal prediction and Gaussian processes, Proceedings of Machine Learning Research 204:1–3, https://proceedings.mlr.press/v204/pham23a/pham23a.pdf

Yiran Qu, Innocent Bekard, Ben Hunt, Jamie Black, Louis Fabri, Sally L. Gras, Sandra. E. Kentish (2024) Economic optimization of antibody capture through Protein A affinity nanofiber chromatography, Biochemical Engineering Journal, https://doi.org/10.1016/j.bej.2023.109141

Yiran Qu, I. Baker, Jamie Black, Louis Fabri, Sally L Gras, Abraham Lenhoff, Sandra E Kentish (2024) Application of Mechanistic Modelling in Membrane and Fiber Chromatography for Purification of Biotherapeutics— A review, Journal of Chromatography A, https://doi.org/10.1016/j.chroma.2023.464588

Thanh Tung Khuat, Robert Bassett, Ellen Otte, Alistair Grevis-James, Bogdan Gabrys (2024) Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities, Computers and Chemical Engineering, https://doi.org/10.1016/j.compchemeng.2024.108585

Bhagya S. Yatipanthalawa,Sally L. Gras (2024) Predictive models for upstream mammalian cell culture development - A review, Digital Chemical Engineering, https://doi.org/10.1016/j.dche.2023.100137

Masih Karmi Alavijeh, Yih Yean Lee, Sally L. Gras, Perspective-Driven and Technical Evaluation of Machine Learning in Bioreactor Scale-Up: A Case-Study for Potential Model Developments, Engineering in Life Sciences 2024, https://doi.org/10.1002/elsc.202400023

Bhagya S. Yatipanthalawa, Shauna E. Wallace Fitzsimons, Tizita Horning, Yih Yean Lee, Sally L. Gras, Development and validation of a hybrid model for prediction of viable cell density, titer and cumulative glucose consumption in a mammalian cell culture system, Computers and Chemical Engineering, 2024, https://doi.org/10.1016/j.compchemeng.2024.108648