Worked on backend development for the Mergers and Acquisitions dataset. I also learned Perl and SQL, wrote a bridge to allow the use of Factset's ORM engine from their internal query language, and wrote code to reconstruct the full set of reachable data elements from a subgraph using a disjoint-set data structure.

I rewrote a program that does gene differential expression analysis for better performance and parallelization on a 32 processor cluster. I wrote the higher level code in Python, and the performance intensive parts in C++ with bindings via SWIG. I then parallelized it using MPI and pthreads.