📧 hellina underscore nigatu at berkeley dot edu
I am a first year PhD student at University of California, Berkeley in the EECS department. I finished my undergrad at Addis Ababa University, Ethiopia in Electrical and Computer Engineering. I am currently co-advised by Prof. Sarah Chasins and Prof. John Canny. I am part of PLAIT, CannyLab and BAIR.
My research interest broadly lies in the intersection of AI and HCI, with a focus on making usable AI tools accessible to end users in social science fields. I am also interested in the impact of AI on society, specifically in how it affects Low Income Countries and people living in the Global South.
Outside of research, I like to read books📚, make and drink traditional Ethiopian coffee☕, knit🧣, explore art🎨, and write✍️.
Andrew McCrabb, Hellina Nigatu, Absalat Getachew, Valeria Bertacco. “DyGraph: a dynamic graph generator and benchmark suite.” Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). 2022
Chris Chinenye Emezue, Hellina Hailu Nigatu, Cynthia Thinwa, Lerato Louis, Idris Abdulmumin, Samuel Gbenga Oyerinde, Benjamin Ayoade Ajibade, Helper Zhou, Emeka Felix Onwuegbuzia, Handel Chiagozie Emezue, Ifeoluwatayo Adeseye Ige, Atnafu Lambebo Tonja, Chiamaka Ijeoma Chukwuneke, Shamsuddeen Hassan Muhammad, Olanrewaju Samuel. “The African Stopwords Project: Curating Stopwords for African Languages” 3rd Workshop on African Natural Language Processing. 2022