Hey, I’m Altuna!

I’m a bioinformatics scientist and the head of Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center in Berlin. I have been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. I mainly use machine learning and statistics to uncover patterns related to important biological variables such as disease state and type. I spent some time in the USA, Norway, Turkey, Japan, and Switzerland in order to pursue further self-development in genomics, bioinformatics and statistics.

The underlying aim of my current work is utilizing complex molecular signatures to provide decision support systems for disease diagnostics and biomarker discovery. In addition to the research efforts and managing a scientific lab, since 2015, I have been organizing and teaching at computational genomics courses in Berlin with participants from across the world.

Interests

  • Machine learning applications on genomic data
  • Gene regulation and regulatory networks
  • Disease genomics

Education

  • PhD in Genomics & Bioinformatics, 2010

    University of Bergen, Norway

  • BSc in Bioengineering (Bioinformatics track), 2005

    Sabanci University, Istanbul, Turkey

Experience

 
 
 
 
 

Group Leader

Max Delbrück Center

Apr 2014 – Present Berlin, Germany
Leading a team of scientist, software engineers and sys. admins working on computational genomics. We build software to analyze large-scale datasets in genomics. In addition, we do trainings and consultation for MDC scientists.
 
 
 
 
 

Postdoctoral Fellow

Friedrich Miescher Institute

Mar 2013 – Apr 2014 Basel, Switzerland
Worked on computational epigenomics with Dirk Schuebeler. Created software making use of machine learning and statistics
 
 
 
 
 

Postdoctoral associate then Senior Research Associate

Weill Cornell Medical College

Sep 2010 – Mar 2013 New York, USA
Worked on computational genomics projects aiming to understand genomic and epigenomic abnormalities in different subtypes of acute myeloid leukemia with Chris Mason and Ari Melnick. Created pipelines and software making use of machine learning and statistics
 
 
 
 
 

Research Intern

RIKEN Yokohama Institute

Sep 2007 – Jan 2008 Yokohama, Japan
Worked on transcriptome analysis using dimension reduction techniques.
 
 
 
 
 

Research Assistant/ PhD student

Computational Biology Unit, University of Bergen

Aug 2005 – Sep 2010 Bergen, Norway
Worked on computational genomics projects for understanding transcriptional regulation with Boris Lenhard.

Featured Work

Some of the projects I have contributed as a lead or main driver

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Preprints at bioRxiv

Citation statistics (H-index, i10-index) at Google Scholar

PubMed indexed & peer-reviewed publications

Publications

Preprints and peer-reviewed publications

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Preprints at bioRxiv

Citation statistics (H-index, i10-index) at Google Scholar

PubMed indexed & peer-reviewed publications

Recent & Upcoming Talks

Systems biology and medicine in the genomics era

Talk on data analysis paradigms and reproducibility in genomics

Recent Posts

Scientific Data Analysis Pipelines and Reproducibility

originally posted at medium.com What do pipelines do? Why do we need them? Pipelines are computational tools of convenience. Data …

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