Matthew Chaw
About Matthew Chaw
Matthew Chaw is a Research Training Fellow at The National Institutes of Health, specializing in deep learning techniques to study cellular development in C. elegans embryos. He holds a Bachelor of Arts in Biology from Franklin & Marshall College and has experience in neuroblastoma research and advanced microscopy.
Work at National Institutes of Health
Matthew Chaw has been serving as a Research Training Fellow at the National Institutes of Health (NIH) since 2021. His work focuses on utilizing deep learning techniques to enhance the understanding of cellular development in C. elegans embryos. This research contributes to the broader field of developmental biology, particularly in creating a comprehensive cellular atlas. The NIH, located in Bethesda, Maryland, is a leading institution in biomedical research, providing Chaw with a platform to advance his research initiatives.
Education and Expertise
Matthew Chaw earned his Bachelor of Arts in Biology from Franklin & Marshall College, completing his studies from 2017 to 2021. During his academic tenure, he developed expertise in advanced microscopy techniques, which he applies in his current research at the NIH. His educational background laid the foundation for his contributions to developmental biology, specifically in understanding cellular processes.
Background
Before joining the NIH, Matthew Chaw gained practical experience at Franklin & Marshall College. He worked as a Neuroblastoma Research Assistant from 2019 to 2020, where he contributed to cancer research. Additionally, he served as a Biology Lab Teaching Assistant in 2019, supporting undergraduate students in their laboratory work. Earlier in his career, he worked as a cashier at Costco Wholesale from 2017 to 2018, which provided him with customer service experience.
Research Contributions
In his role at the National Institutes of Health, Matthew Chaw is engaged in creating a comprehensive cellular atlas, which is a significant project in the field of developmental biology. His research utilizes deep learning techniques to analyze cellular development in C. elegans embryos, contributing to advancements in understanding how cells differentiate and develop. This work is essential for furthering knowledge in developmental processes and may have implications for broader biological research.