Robin Walters

About

Amal Ahmed is a professor and the Associate Dean of Graduate Programs at Khoury College of Computer Sciences. Her research focuses on programming languages, with particular attention to semantics, type systems, secure compilation, gradual typing, and software contracts. She is committed to advancing the understanding and development of programming language theory and its applications, contributing to the college's leadership in computer science education and research.

Research topics

• Biology
• Genetics
• Medicine
• Evolutionary biology
• Computer Science
• Computational biology
• Internal medicine
• Demography
• Environmental health
• Artificial Intelligence

Selected publications

• The power of genetic diversity in genome-wide association studies of lipids

  Nature · 2021 · 1032 citations

  DOI

• A saturated map of common genetic variants associated with human height

  Nature · 2022 · 877 citations

  ) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than a…

  DOI

• Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

  Nature Genetics · 2022 · 724 citations

  DOI

• Efficacy and safety of nerinetide for the treatment of acute ischaemic stroke (ESCAPE-NA1): a multicentre, double-blind, randomised controlled trial

  The Lancet · 2020 · 614 citations

  DOI

• Stroke genetics informs drug discovery and risk prediction across ancestries

  Nature · 2022 · 586 citations

  . Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.

  DOI

Recent grants

• Collaborative Research: SCALE MoDL: Representation Theoretic Foundations of Deep Learning

  NSF · $661k · 2022–2025

Frequent coauthors

• Zhengming Chen

  University of Oxford

  558 shared

• Iona Y. Millwood

  University of Oxford

  527 shared

• Huaidong Du

  Guangzhou Marine Geological Survey

  443 shared

• Jun Lv

  Guizhou University

  435 shared

• Yiping Chen

  Medical Research Council

  426 shared

• Liming Li

  Peking University

  407 shared

• Ling Yang

  University of Oxford

  394 shared

• Canqing Yu

  Peking University

  369 shared

Labs

• Robin Walters LabPI

Similar researchers at Northeastern University

• Yun Raymond Fuh-79
• Kenneth Churchh-62
• Stacy C. Marsellah-62