Bianca Dumitrascu
Appointment
CIFAR Azrieli Global Scholars 2024-2026
CIFAR MacMillan Multiscale Human
About
My research focuses on understanding how genes, cell shapes, and mechanical forces interact during development, regeneration and healing. I use statistical and machine learning methods like factor analysis, generative models and deep learning to analyze complex genomic data. By integrating this information, I aim to uncover the molecular mechanisms driving cell movements and cell fate decision. Ultimately, my work seeks to shed light on how genetics and mechanics shape development across different species, with potential applications in personalized medicine and regenerative therapies.
Awards
- Fellow, Cambridge University, 2020
- Member, Institute of Advanced Studies, 2019
Relevant Publications
- Gregory, W., Sarwar, N., Kevrekidis, G., Villar, S., & Dumitrascu, B. (2024). MarkerMap: nonlinear marker selection for single-cell studies. npj Systems Biology and Applications, 10(1), 17.
- Hallou, A., He, R., Simons, B. D., & Dumitrascu, B. (2023). A computational pipeline for spatial mechano-transcriptomics. bioRxiv, 2023-08.
- Dumitrascu, B., Feng, K., & Engelhardt, B. (2018). Pg-ts: Improved thompson sampling for logistic contextual bandits. Advances in neural information processing systems, 31.