I'm a quantitative researcher. I work at a Uni. I focus on human behaviour, in the broad sense.

• This is the best thing I've done to date.
• These are the most beautiful data I've worked with.

Everything about me in colourful blobs:

• I've lived in: 🇭🇺,🇳🇴,🇩🇪,🏴󠁧󠁢󠁳󠁣󠁴󠁿,🥝,🏴󠁧󠁢󠁥󠁮󠁧󠁿,🇭🇺
• I speak: 🇬🇧,🇭🇺,🇩🇪,🇫🇷
• I've worked with ppl from: 🇭🇺,🇩🇪,🇷🇴,🇳🇿,🇬🇧,🇦🇺,🇺🇸,🏴󠁧󠁢󠁷󠁬󠁳󠁿,🇰🇷,🇮🇳
• I know some: R, py, julia, js, shell, lme4, stan, purrr, h2o, keras, awk, sed, latex, pandoc, md, rst
• I can sort of play: 🎸,🎹,🥁

I've been working on a range of stuff.

• Language learning (in Murrinhpatha, Northern Australia) (in a language we made up)
• Human-machine interaction (with internet robots) (with actual robots)
• Evolutionary anthropology (on cross-cultural data) (going meta)
• Linguistic anthropology (in Datooga, West Africa) (in Indo-European)
• Internet corpora (obscure Hungarian morphology) (more obscure Hungarian morphology)

I've been using an even wider range of stuff.

• GLMM-s
  • linear (on Māori)
  • logistic (on a language we made up, w/ aliens)
  • ordinal (on cross-cultural data)
  • counts (on a language we made up, w/o aliens)
  • Bayesian (on Murrinhpatha)
• Ensemble models
  • bagging (on corpus data)
  • boosting (on cross-cultural data)
• Unsupervised learners
  • multidimensional scaling (on corpus data)
  • principal components (on survey data)
• Classifiers
  • Generalised Context Model (and the English past tense)
  • Naïve Discriminative Learner (and the Hungarian folk diminutive)

I'm on Gitlab emulating an adolescent web developer.