Avery Wang
About Avery Wang
Avery Wang is a fourth-year Software Engineer Intern at the Broad Institute of MIT and Harvard, with a background in biology and computer science. Previously, Wang worked as a Teacher Assistant at Khoury College and as a Data Management Specialist at Genentech.
Current Role at Broad Institute
Avery Wang is currently employed as a Software Engineer Intern at the Broad Institute of MIT and Harvard. This role has been ongoing since 2021, contributing to projects focused on software development within a leading research institution located in Cambridge, Massachusetts. The Broad Institute is known for its work in genomics and biomedical research, providing an environment where Avery can apply and enhance their technical skills.
Previous Experience at Khoury College
Prior to their current position, Avery Wang worked as a Teacher Assistant for Object-Oriented Design at Khoury College of Computer Sciences from 2020 to 2021. This role lasted for eight months and involved supporting students in understanding key concepts of object-oriented programming, enhancing their learning experience through direct assistance and guidance.
Experience at Genentech
In 2021, Avery Wang served as a Data Management Specialist at Genentech for a duration of five months. This position involved managing data processes and ensuring data integrity within a biotechnology company known for its focus on innovative medicines. This experience contributed to Avery's understanding of data management in a scientific context.
Educational Background
Avery Wang studied at Northeastern University, where they pursued a degree in Biology, General, achieving an undergraduate qualification from 2018 to 2022. This four-year program provided a foundation in biological sciences, complementing their technical skills in software engineering and bioinformatics. Avery is currently a fourth-year student at Khoury College of Computer Sciences.
High School Education
Avery Wang completed their high school education at Beverly Hills High School, graduating with a GPA of 3.9 on a 4.2 scale. This academic achievement reflects a strong commitment to education and sets the stage for their subsequent studies in computer sciences and biology.