Amna Elmustafa

Hello there, Thanks for landing here.I’m Amna, was born and raised in Khartoum, Sudan. I spent the last two years, however, between Senegal and the US. I got my undergrad from Khartoum University with a major in Electrical and Electronics Engineering, where I was also interested in taking macroeconomics/public policy courses. In my final year, I heard about Machine Learning and started the learning journey with an independent research, published in IEEEXplore.

After working in different companies in software engineering, I decided to go further in the research path and got AMMI scholarship, A master program in machine intelligence in Senegal. This experience opened the gate to a collaboration with the Stanford AI lab. More than that, I was able to learn during an internship with David Rolnick at MILA on biodervisty monitering. Fall 2022, I began a different experience, working As a predoc researcher at Stanford King Center under the supervision of Stefano Ermon, David Lobell and Irene Lo.

Currently, I’m a first year PhD student working with Hannah Kerner at ASU. I’m generally interested in using novel data and computational methods to achieve sustainable development in low-income countries and conflict regions with a focus on climate, poverty, and agricultural applications. I have used in the past remote sensing as a novel data source for scarce data regimes. But interested in exploring more novel data methods.