I'm a quantitative researcher. I work at a Uni. I focus on human behaviour, in the broad sense.
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.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent