معرفی
Bianca Dumitrascu serves as the Herbert and Florence Irving Assistant Professor of Cancer Data Research at Columbia University, holding dual appointments in the Herbert and Florence Irving Institute of Cancer Dynamics and the Herbert Irving Comprehensive Cancer Center. She is concurrently an Assistant Professor of Statistics within the Faculty of Arts and Sciences and a verified member of the Data Science Institute. Additional center affiliations include Computing Systems for Data-Driven Science and Foundations of Data Science as an Affiliated Member.
Education:
- PhD in Computational Biology, Princeton University
- Undergraduate Studies in Mathematics, MIT
Previous Academic Appointments:
- Affiliated Lecturer, Computer Science Department, University of Cambridge
- Member, School of Mathematics, Institute for Advanced Study
- Visitor, Statistical Science Department, Duke University
Dr. Dumitrascu's research operates at the critical intersection of machine learning and genetics, investigating how local molecular rules generate emergent spatial patterns in biological dynamical systems. Her methodology integrates statistical optimization, statistical physics, and domain adaptation techniques to decode spatial transcriptomic data, identify contextual phenotypes, and unravel single-cell identity dynamics during early development. She pioneers applications of active learning and graph neural networks to model multi-agent biological and ecological systems, advancing computational morphogenomics through innovative algorithmic frameworks that bridge molecular biology with complex systems theory.
She directs the Computational Morphogenomics Group, which develops cutting-edge computational pipelines for spatial genomic analysis and publishes foundational work on morphogenetic pattern formation through machine learning approaches.
