Hi, I’m Ben
I’m a lecturer in a small psychology department in Scotland, UK (lab website). I guess I’m a domain specialist in that I’m a cognitive scientist, but I’ve also been Bayesian for a while and done a fair bit of modelling of some sort or another.
I’ve done a bit of work on Bayesian models of visual attention. More recently, I’ve switched over to looking at “higher-level” decision making. Specifically I’m interested in risky and delayed choice tasks, basically decision making.
I’ve got a long history with Matlab, and I recently published a Toolbox which does hierarchical inference for people with delay discounting data. I’ve got many plans to extend this any make it super awesome - but it’s become clear that that’s not possible in Matlab/JAGS. So I’m trying to port this over to Python/PyMC3. At the moment, it’s in stealth mode, but I might open up the GitHub repo and welcome some co-development in exchange for co-authorship
While I’m a Bayesian, and I understand the simpler sampling algorithms, I’m not a computer scientist nor a statistician. So it’s unlikely that I can contribute much to core PyMC3, but I’m open to contributing some examples once I’m up to speed.