Gabriela Alexe
About Gabriela Alexe
Gabriela Alexe is an Associated Scientist in the Computational Biology and Bioinformatics Program at the Broad Institute of MIT and Harvard, and serves as a Senior Scientist at Dana-Farber Cancer Institute. She has been an Adjunct Associate Professor in the Graduate Program in Bioinformatics at Boston University since 2012.
Work at Broad Institute
Gabriela Alexe has been an Associated Scientist in the Computational Biology and Bioinformatics Program at the Broad Institute of MIT and Harvard since 2010. In this role, she contributes to various research initiatives that focus on computational methods in biology. The Broad Institute is known for its collaborative approach to biomedical research, and Alexe's work aligns with its mission to advance the understanding of human health and disease.
Current Position at Dana-Farber Cancer Institute
Since 2020, Gabriela Alexe has held the position of Senior Scientist at the Dana-Farber Cancer Institute in Boston, MA. In this capacity, she engages in research that intersects computational biology and cancer research. The Dana-Farber Cancer Institute is recognized for its commitment to cancer treatment and research, and Alexe's role supports its objectives in understanding cancer biology through computational approaches.
Academic Role at Boston University
Gabriela Alexe has served as an Adjunct Associate Professor in the Graduate Program in Bioinformatics at Boston University since 2012. In this role, she provides instruction and mentorship to graduate students in bioinformatics, contributing to the development of the next generation of scientists in the field. Her academic involvement reflects her commitment to education and the advancement of bioinformatics as a discipline.
Educational Background and Expertise
Gabriela Alexe possesses a strong educational background in computational biology and bioinformatics. Her expertise is demonstrated through her roles in prominent research institutions and academic settings. This combination of education and experience positions her as a knowledgeable professional in the field, capable of addressing complex biological questions through computational methods.