Sofia Pinto e Lobo da Silva Agostinho
PhD Student
iBB Group: scerg
Expertise: Machine Learning, Transcriptomics
Short Bio:
Sofia P. Agostinho is a PhD student in Biomedical Engineering at Instituto Superior Técnico (Lisbon). She holds a master’s degree in Biomedical Engineering from the same institute (2022). Her research work is being carried out at SCERG-iBB and IT-Lx (Instituto de Telecomunicações Lisboa).Her research focuses on developing computational tools and analysis methods that can help overcome obstacles in the field of stem cell production and characterization. Her work ranges from applying machine learning methods to study stem cell differentiation to forecasting bioreactor monitoring data.
Research Focus:
Bioinformatics analysis and development of computational tools for stem cell transcriptome characterization and bioprocess outcome prediction using machine learning approaches.
SMAR:T New technologies for Stem cell Manufacturing bioprocess monitoring and ARTificial intelligence-based modeling (PTDC/EQU-EQU/3853/2020)
Agostinho, S., Cabral, J., Fred, A., & Rodrigues, C. (2023). Unsupervised Cardiac Differentiation Stage Portraying and Pseudotime Mapping Based on Gene Expression Data. Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 109–120. https://doi.org/10.5220/0011892200003414