Developing large-scale algorithms for sequencing data using Python (NumPy, matplotlib, pandas, sklearn, etc…). Applications generally deal with high-dimensional data fitting and make use of multiprocessing and distributed computing. Examples include DemuxHMM and Wasserstein Principal Curves.

Worked on an extensive redesign of the company website (PHP, HTML, CSS) as well as lead generation (HubSpot CRM). Stayed organized using Jira boards.

Worked on a high-resolution fluid dynamics study of wind farms using OpenFoam. Extensively used the ComputeCanada (now AllianceCan) distributed computing network.

Implemented graph sorting algorithms in Python (Sage, networkx) and applied them to board game graphs. Some examples include k-fixed Cop Number and Tree Edge Search Number.