معرفی
Dr. Amin Emad is an Assistant Professor in the Department of Electrical and Computer Engineering at McGill University, affiliated with the Mila (Quebec AI Institute), Rosalind and Morris Goodman Cancer Institute (GCI), Quantitative Life Sciences (QLS) program, McGill initiative in Computational Medicine (MiCM), and Meakins-Christie Laboratories. He holds a PhD from the University of Illinois at Urbana-Champaign (UIUC) and previously conducted postdoctoral research at the NIH KnowEnG Center of Excellence at UIUC.
His research focuses on computational methods in biomedical applications, integrating machine learning, network representation learning, and statistical approaches. Key areas include precision medicine, systems biology, and cancer therapy optimization. His lab, COMBINE, develops tools like GRouNdGAN (single-cell RNA-seq simulation), PPI.bio (protein interaction prediction), and MARSY (drug combination synergy prediction). Dr. Emad recruits PhD/MSc students and postdoctoral researchers with backgrounds in computational biology, machine learning, or bioinformatics.
Current research emphasizes causal AI, geometric deep learning, and generative models applied to omics data. He collaborates across disciplines, leveraging multi-omics integration and network biology to understand disease mechanisms and identify therapeutic targets. His work bridges computational methods with experimental biology, addressing challenges in precision medicine and systems pharmacology.
Lab members include 10 current PhD students and recent alumni such as Antoine Soulé (Postdoc 2024) and David Earl Hostallero (PhD 2024). Dr. Emad’s tools are available via GitHub (e.g., GRouNdGAN, BiG-DRP) and have been published in high-impact journals like Nature Communications and Bioinformatics.
