Research

Software and repositories #

Most of these have singularity images, so you would not need Julia to run the Julia packages. The below projects are invariably matching a paper, or in support of a paper.

Devs Ex Machina – C++ – BSc Thesis #

A high performance distributed discrete event simulation engine offering both conservative and optimistic scheduling paradigms, with thread local allocators.

CSRM – Python – MSc Thesis #

Hybrid distributed symbolic regression engine combining genetric programming with a set of metaheuristics. Enables the fast learning of surrogate models that can be used in place of computationally expensive large scale simulations in epidemiology, as an applied use case.

ERGO – Python/Julia #

ERGO detects and predicts the emissions density in anisotropic superresolution (single molecule) microscopy using graph heuristics and a recurrent neural network.

SPECHT – Julia #

A weakly supervised object detection package in Julia, using belief theory (~fuzzy computing).

SMLMVIS – Python #

A Python package to load 3D pointcloud data from a host of superresolution microscopes, as well as code to export to VTK for visualization in ParaView.

A full listing can be found on my GitHub {{ icon “github” >}}