Grace Carter
About Grace Carter
Grace Carter is a Research Associate I at the Broad Institute of MIT and Harvard, specializing in genomic analysis of gastrointestinal diseases. She has a background in Biology and Neuroscience from Elon University and has developed expertise in single-cell RNA sequencing.
Work at Broad Institute
Grace Carter has been employed at the Broad Institute of MIT and Harvard as a Research Associate I since 2020. In this role, she focuses on genomic analysis related to gastrointestinal diseases, particularly inflammatory bowel disease (IBD). She employs single-cell RNA sequencing techniques and integrates computational analysis using R to interpret sequencing results. Her work contributes to advancing understanding in the field of genomics and its applications in medical research.
Education and Expertise
Grace Carter holds a Bachelor of Science degree in Biology with a minor in Neuroscience from Elon University, where she studied from 2016 to 2020. She also completed an Associate of Arts degree at The George Washington University from 2013 to 2015. In 2021, she furthered her education at Harvard Extension School for 11 months. Her academic background includes studying retroviral genomics in the chimpanzee genome and developing expertise in 10X Genomics protocols for single-cell RNA sequencing.
Background in Research
Grace Carter has a solid foundation in research, having worked as a Student Researcher at Elon University from 2018 to 2020. She also completed two internships at the Centre universitaire de santé McGill | McGill University Health Centre, first in 2017 for three months and again in 2018 for two months. Her research experience includes combining wet lab techniques with computational biology methods, focusing on gastrointestinal diseases and genomic analysis.
Research Focus and Techniques
Grace Carter's research primarily involves the genomic analysis of the gut in inflammatory bowel disease (IBD). She utilizes single-cell RNA sequencing to conduct her studies, which allows for detailed insights into cellular responses in gastrointestinal conditions. Her work integrates both wet lab and computational biology methods, showcasing her ability to analyze complex biological data effectively.