Fatemeh Afrasiabi
About Fatemeh Afrasiabi
Fatemeh Afrasiabi is a Graduate Research Assistant at the University of Massachusetts Boston, where she has worked since 2018. She holds a PhD in Computer Science and Bioinformatics and has over four years of teaching experience along with data science expertise in both academic and industry settings.
Work at UMass Boston
Fatemeh Afrasiabi has been associated with the University of Massachusetts Boston since 2018. She currently holds the position of Graduate Research Assistant, where she has been working for six years. Previously, she served as a Graduate Student Instructor (Teaching Fellow) for a total of ten months in 2019 and 2020. Additionally, she worked as a Graduate Teaching Assistant for two years from 2018 to 2020. Her roles have contributed to her extensive teaching experience in both academic and non-academic settings.
Education and Expertise
Fatemeh Afrasiabi earned her Doctor of Philosophy (PhD) in Computer Science with a focus on Bioinformatics from the University of Massachusetts Boston, completing her studies in 2023. Prior to this, she obtained a Bachelor's degree in Computer Science from Amirkabir University of Technology - Tehran Polytechnic, where she studied from 2013 to 2018. Her academic background is complemented by her professional skills in programming languages such as Java, SQL, and Python, as well as expertise in Data Structures and Machine Learning.
Background
Fatemeh Afrasiabi has a diverse background that includes both teaching and data science. She worked as an English Instructor at Safir Language Academy in Tehran Province, Iran, from 2015 to 2018. This role contributed to her more than four years of teaching experience. In 2020, she gained practical experience as a Data Science Intern at Biobot Analytics for three months. This combination of teaching and data science experience has shaped her current research interests.
Data Science Experience
Fatemeh Afrasiabi has over a year of data science experience in both academia and industry. Currently, she is employed at Wayfair as a Data Science and Machine Learning Co-Op, where she has been working since 2022. Her enthusiasm for applying data science methods to extract insights from biological datasets reflects her commitment to leveraging her skills in real-world applications.