Danielle Firer

Danielle Firer

Associate Computational Biologist @ Broad

About Danielle Firer

Danielle Firer is an Associate Computational Biologist at the Broad Institute of MIT and Harvard, where she has worked since 2020. She holds a Bachelor of Science in Bioengineering and Computer Science from the University of Maryland, where she also served as a Research Assistant and Undergraduate Teaching Assistant.

Current Role at Broad Institute

Danielle Firer serves as an Associate Computational Biologist at the Broad Institute of MIT and Harvard. She has held this position since 2020, contributing to various computational biology projects. Her work focuses on integrating biological data with computational methods to advance research in genomics and related fields.

Previous Experience in Research

Prior to her current role, Danielle Firer gained extensive research experience at the University of Maryland. She worked as a Research Assistant from 2017 to 2019 and again from 2019 to 2020. In these roles, she supported various research initiatives, enhancing her skills in data analysis and biological research methodologies.

Internships at Johns Hopkins University

Danielle Firer completed two summer internships at Johns Hopkins University. In 2016, she interned at the Bloomberg School of Public Health for two months. In 2017, she worked at the School of Medicine for another two-month period. These internships provided her with valuable exposure to public health research and medical applications.

Education and Academic Background

Danielle Firer earned her Bachelor of Science degree in Bioengineering and Computer Science from the University of Maryland College Park. She studied from 2015 to 2020, acquiring a strong foundation in both engineering principles and computational techniques, which supports her current role in computational biology.

Early Career at University of Maryland

In addition to her research roles, Danielle Firer worked as a Computer Science Undergraduate Teaching Assistant at the University of Maryland in 2019 for seven months. This position involved assisting students in understanding computer science concepts, further developing her communication and teaching skills.

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