Biography
I am a PhD student working on modelling the growth kinetics of ovarian cancer to evaluate whether it can be detected before it metastasises. I completed my undergraduate training in mechanical engineering (National University of Singapore) and then did my masters in mechanical engeering and computational science and engineering (Ecole Polytechnique Federale de Lausanne) before starting my PhD at the University of Cambridge.
Research
Dynamic modelling Cancer early detection Metabolic networks
Publications
Narayanan, B., Weilandt, D., Masid, M. et al. Rational strain design with minimal phenotype perturbation. Nat Commun 15, 723 (2024). https://doi.org/10.1038/s41467-024-44831-0
Narayanan, B., Olender, M.L., Marlevi, D. et al. An inverse method for mechanical characterization of heterogeneous diseased arteries using intravascular imaging. Sci Rep 11, 22540 (2021). https://doi.org/10.1038/s41598-021-01874-3
Choudhury, S., Narayanan, B., Moret, M. et al. Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states. Nat Catal 7, 1086–1098 (2024). https://doi.org/10.1038/s41929-024-01220-6
Teaching and Supervisions
I am a seminar leader for the first year clinical course - Foundations of Evidence Based Practice. I have prior experience as a teaching assistant for Computational Linear Algebra, Principles and Applications of Systems Biology, Numerical Methods, and Chemical Process Control.
I am supervising an MPhil student in Population Health Sciences
