Yo Akiyama
About Yo Akiyama
Yo Akiyama is an Associate Computational Biologist II at the Broad Institute of MIT and Harvard, where they have worked since 2022. They hold a Bachelor of Arts with Honors in Computer Science from Williams College, where they also gained research and teaching experience.
Current Role at Broad Institute
Yo Akiyama currently holds the position of Associate Computational Biologist II at the Broad Institute of MIT and Harvard. This role commenced in 2022 and is based in Cambridge, Massachusetts. In this capacity, Akiyama contributes to computational biology projects, leveraging expertise in data analysis and computational methods to advance research initiatives.
Previous Experience at Broad Institute
Prior to the current role, Yo Akiyama served as Associate Computational Biologist I at the Broad Institute from 2020 to 2022. During this two-year tenure, Akiyama gained valuable experience in computational biology, focusing on the integration of biological data and computational techniques to support various research projects.
Academic Background at Williams College
Yo Akiyama studied at Williams College, where they earned a Bachelor of Arts with Honors in Computer Science from 2016 to 2020. The academic program provided a solid foundation in computer science principles, preparing Akiyama for a career in computational biology and related fields.
Research and Teaching Roles at Williams College
During their time at Williams College, Yo Akiyama held multiple positions, including Honors Thesis in Computer Science, Computer Science Student Research Assistant, Teaching Assistant, and Computer Science Summer Research Student. These roles, spanning from 2019 to 2020, involved engaging in research projects, assisting faculty, and supporting fellow students in their learning.
Internship Experience at Baylor College of Medicine
In 2015, Yo Akiyama completed a Research Intern position at Baylor College of Medicine for one month. This internship provided early exposure to research methodologies and practices in a biomedical setting, contributing to Akiyama's development in the field of computational biology.