Haran

Dvir Haran

Education/ Resume:
  • ai, 2019-2020, Palo Alto. Senior Data Scientist
  • Postdoctoral Fellow, 2014-2019, Stanford University and University of California, San Francisco
  • PhD, 2014, Hebrew University
  • MSc, 2010, Hebrew University
  • BSc, 2009 Hebrew University
Research Summary

We integrate multidimensional biomedical data — including genomics and clinical data — to advance precision medicine and improve therapeutic strategies. Using computational biology and data science methodologies, we aim  to develop computational methods to understand cellular heterogeneity in complex tissues and incorporate cutting-edge technologies to study cellular dynamics in the tumor-microenvironment affecting response to therapies. We also investigate real-world clinical data and develop machine-learning models to improve clinical decision-making. The lab branches to both basic and clinical research, and collaborates with computer scientists, bioengineers, basic experimental researchers and clinicians.

Awards
  • Azrieli Faculty Fellowship, 2020
  • Gruss-Lipper Postdoctoral Fellowship, 2015
Key Publications
  • Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Aran et al. Nature Immunology, 2019
  • xCell: digitally portraying the tissue cellular heterogeneity landscape. Aran et al. Genom Biology, 2017
  • Comprehensive analysis of normal adjacent to tumor transcriptomes. Aran et al. Nature Communications, 2017
  • Systematic pan-cancer analysis of tumour purity. Aran et al. Nature Communications, 2015
  • DNA methylation of distal regulatory sites characterizes dysregulation of cancer genes. Aran et al. Genome Biology, 2013
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Recent Publications:
  • Prior presumed coronavirus infection reduces COVID-19 risk: A cohort study. Aran et al. Journal of Infection, 2020
  • Development and validation of a machine‐learning model for prediction of shoulder dystocia. Tsur et al. Ultrasound in Obstetrics & Gynecology, 2020
  • Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage. Aran et al. Nature Immunology, 2019
  • EpiSort: Enumeration of cell types using targeted bisulfite sequencing. Aran et al. Biorxiv, 2019
  • xCell: digitally portraying the tissue cellular heterogeneity landscape. Aran et al. Genom Biology, 2017
  • Comprehensive analysis of normal adjacent to tumor transcriptomes. Aran et al. Nature Communications, 2017
read more
Open Positions

Open positions for MSc, PhD and postdoctoral fellows. We are seeking highly motivated students to develop and study novel approaches in bioinformatics, or the application of analytic and interpretive methods to optimize the clinical-decision making.

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