Daniel Polanco

Senior Bioinformatician


Academically trained as a computational biologist. Open source contributor, and certified Apple App Store publisher. My long-term goal is to mentor and lead a software development team. In the near-term, to support and collaborate with clinical and bioinformatic research teams.

Work Experiences

Founder / Mobile Software Engineer

Atelier Circle LLC | 2017 - Present

Collaborated with the Colorado Center for Personalized Medicine to redesign iMTracker (lifestyle tracking app) on iOS for a pilot study.

  • Modernize, streamline, and improve perforamce of legacy user interface.
  • General debug and software management, including unit testing, source control, and documentation.
  • Modification of existing code to allow customization of notifications and direct data entry.
  • Data storage organization to improve analysis performance and privacy control.
  • Automate source build, code coverage, reporting, and app submission for publication.

Inovation Engineer

Stantec | 2016 - 2017

Created a holographic mobile app for HoloLens with Git, Visual Studio Team Services, and Agile methodology. Built and deployed on Azure.

Research Assistant

University of Colorado | 2013 - 2016

Developed and prototyped a model for identifying genomic duplications with Dr. David D. Pollock.

  • Conduct statistical analysis and interpret expression levels from cDNA/mRNA.
  • Locate and remove mitochondrial DNA, identify repeat sequences, and search for sequencing contamination.
  • Concentrate, isolate, and clone plasmid DNA and further prepare DNA to be sent for off-site sequencing.



Proprietary Source

Design, engineer, and ready to publish a health personalization application that tracks symptoms. Symptoms are processed on devide (EDGE) and results are presented to summarize backend analysis.


Mixed Source

Created a technical design for an ingestible pill including video demonstration. Created in Autodesk Fusion 360 for graduate coursework.


Duplication Identification

Open Source

Identify genomic duplications using a novel algorithm for sorting and detecting key fragments.