Research & Activities

We are passionate about developing new algorithms, machine learning and deep learning methods, and their applications to genomics, metagenomics and cancer research. Some of the current projects in the lab include characterizing human genomes and metagenomes using multiple sequencing platforms, quantifying cancer evolution, study of tumor heterogeneity using genomics and imaging, and AI in In Vitro Fertilization (IVF).

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Structural Variation

Developing computational methods for characterizing structural variations focused on complex and repetitive elements, subclonal variants in cancer, and clinical relevant variants.

AI in Medicine

Developing AI models for a wide range of biomedical applications. In particular, using deep learning for disease classification, improving cancer diagnosis and In Vitro Fertilization (IVF) outcome using imaging and clinical data.


Advancing computational methods in metagenomics for the purpose of deconvolving mixtures, discovering variants and de novo assembly.

Recent Publications

See Iman Hajirasouliha's Google Scholar page for an updated list.

Copyright © 2016 Iman Hajirasouliha.