The van der Schaar Lab is delighted to announce that Ahmed Alaa has received the 2021 Edward K. Rice Outstanding Doctoral Student Award from the University of California Los Angeles (UCLA).
The award is administered by the UCLA Samueli School of Engineering on an annual basis, and honors the achievements of a single alumnus (chosen from among all of the School’s departments) who has demonstrated academic and research excellence, leadership, and service to the school, university or community.
Ahmed joined the van der Schaar Lab as a PhD student in 2015, and completed his doctoral research (supervised by Mihaela van der Schaar) in December 2019. His dissertation, entitled “Discovering Data-Driven Actionable Intelligence for Clinical Decision Support,” is available here. Since 2020, Ahmed has remained with the lab as a postdoctoral scholar at UCLA and an affiliated postdoctoral researcher at the University of Cambridge (COVID-19 task force). His primary research focus has been on individualized treatment effect inference, automated machine learning (AutoML), uncertainty quantification and time-series analysis.
Winning the 2021 award is a testament to Ahmed’s leadership and creativity across a wide range of projects with a broad societal and clinical impact. In the course of his graduate work, Ahmed developed methods to analyze clinical data for millions of patients across many diseases, and built local and nation-wide clinical decision-support systems for hospitals in the US and around the world. He has also worked in a scientific advisory capacity for governments trying to contain the COVID-19 pandemic using data and AI, and has spearheaded the lab’s work on COVID-19 prognosis, resource management, and analysis of the impact of ethnicity on mortality risk.
As one of the dominant forces driving progress in a burgeoning area, the van der Schaar Lab continues to grow its research team. Six PhD students joined the lab in October 2020, a new postdoc started in April 2021, and the 2021 intake of researchers will be announced in the coming months.
To see a full list of our current research team members, click here.