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. 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