Connie Wang

Connie Wang

Associate Computational Biologist @ Broad

About Connie Wang

Connie Wang is an Associate Computational Biologist at the Broad Institute of MIT and Harvard, where she has worked since 2021. She previously held various roles at the University of Wisconsin-Madison, including Undergraduate Research Assistant and Secretary at dotData.

Work at Broad Institute

Connie Wang has been employed as an Associate Computational Biologist at the Broad Institute of MIT and Harvard since 2021. In this role, she engages in computational biology projects that contribute to the understanding of biological systems and diseases. The Broad Institute is known for its collaborative research environment and cutting-edge scientific advancements.

Previous Experience at University of Wisconsin-Madison

Connie Wang worked at the University of Wisconsin-Madison in various capacities. She served as an Undergraduate Research Assistant from 2019 to 2021, where she contributed to research projects in a laboratory setting. Additionally, she worked as a Student Hourly for three months in 2018 and held the position of Secretary at dotData from 2020 to 2021, where she supported organizational activities.

Educational Background in Biochemistry and Mathematics

Connie Wang earned a Bachelor of Science degree from the University of Wisconsin-Madison, studying Biochemistry (honors) and Applied Mathematics, with a minor in Computer Sciences. Her academic journey spanned from 2018 to 2021, during which she developed a strong foundation in both biological sciences and quantitative analysis.

Work Experience in Customer Service and Tutoring

In addition to her scientific roles, Connie Wang has experience in customer service and education. She worked as a Barista at Peet's Coffee for three months in 2019 and served as the Conversational English Coordinator at the Greater University Tutoring Service from 2019 to 2020. These positions allowed her to develop communication skills and engage with diverse populations.

People similar to Connie Wang