Aziz Khan

Image of Aziz Khan
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Phone +47-22840563
Username
Visiting address Gaustadalléen 21 Forskningsparken 0349 OSLO
Postal address Postboks 1137 Blindern 0318 OSLO

Academic interests

My primary research interests are bioinformatics, computational biology, machine learning and integrative analysis of high throughput sequencing data including ChIP-seq, DNase-seq, RNA-seq, GRO-seq and Hi-C with an emphasis on regulatory genomics and epigenomics. The main focus of my recent research has been to develop computational methods and resources, and to perform integrative analysis, to help the research community in studying the functional importance of super-enhancers and to answer many outstanding questions.

My long-term research goal is to develop computational methods and tools for integrative analysis of heterogeneous, high-throughput sequencing data to understand the transcriptional and epigenetic control of gene regulation in development and disease.

Apart from research, I am a strong advocate of open science, open source, open access, and the use of social media in research as a way to advance research more broadly.

Background

Education

  • 2012 – 2016: Ph.D. in Bioinformatics, Tsinghua University, Beijing, China
  • 2008 – 2010: MS in Computer Science, National University of Computer & Emerging Sciences, Islamabad, Pakistan
  • 2006 – 2008: MSc in Information Technology, Quaid-I-Azam University, Islamabad, Pakistan
  • 2003 – 2005: BSc in Mathematics and Physics, Forman Christian College, Lahore, Pakistan

Professional

  • 2014 – 2015: Summer intern, Merck, Beijing, China
  • 2011 – 2016: Consultant, Microfinance Opportunities, Washington D.C., USA
  • 2010 – 2012: Freelance Website & Web Application Developer
  • 2009 – 2010: Web Intern, for a joint project by Harvard University & Aga Khan Development Network, Pakistan

Awards

  • CSC fully-funded PhD Scholarship, Tsinghua University, China - 2012 to 2016
  • TWAS BIOVISION.Next Fellowship - 2014, 2013
  • HEC Research Travel Grant, Higher Education Commission, Pakistan - 2012, 2016
Tags: Genetics, Bioinformatics, Computational Biology, Machine learning, Gene regulation, Genomics, Epigenetics, DNA sequence analysis

Publications

  • Khan, Aziz & Mathelier, Anthony (2017). Intervene: a tool for intersection and visualization of multiple gene or genomic region sets. BMC Bioinformatics.  ISSN 1471-2105.  18(287) . doi: 10.1186/s12859-017-1708-7

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Published Dec. 5, 2016 4:36 PM - Last modified Oct. 26, 2017 3:38 PM

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