Summary
Nouran Soliman is a PhD candidate and graduate research assistant at MIT CSAIL’s Haystack Research Group, specializing in the intersection of HCI, social computing, and AI to improve online trust, safety, identity representation, and content moderation. With eight years of research experience and internships at Adobe Research, Microsoft Research, AI2, UC Berkeley, and UIUC, she builds and evaluates systems that enhance user experience and platform safety, and has applied ML to team productivity and healthcare problems. Her work has earned recognition as an Adobe Research Scholar and Generation Google Scholar and has been featured by MIT News and Microsoft, reflecting both practical impact and academic visibility. Notably, she combines rigorous system design with user-centered evaluation, bringing technical depth from computer vision to machine learning alongside a strong background in computer engineering.
8 years of coding experience
Summer Course, Machine Learning, Summer Course, Machine Learning at University of California, Berkeley
Doctor of Philosophy - PhD, Computer Science, 5/5, Doctor of Philosophy - PhD, Computer Science, 5/5 at Massachusetts Institute of Technology
Bachelor's degree, Computer Engineering, 3.97/4.0, Bachelor's degree, Computer Engineering, 3.97/4.0 at Arab Academy for Science, Technology and Maritime Transport