October Updates

What’s new this past month? I’ve gone from under-employed to working what seems to be like full time, which is a welcome change of pace.

Nothing new on the publication front, nothing new on the (academic) job search front other than knowing that I am now at about the half way point of my current contract. Time to start thinking about new (ideally more permanent) work come spring. That said, I have been doing a bit more work (what has taken me to full time-ish) in the world of data science education. It’s an interesting space to work in because, like all things education, you really have to love education to do it (which I do).

Though I did give a talk at the Computational Auditory Perception group at the Max Planck Institute for Empirical Aesthetics last week. It was my first time talking research since Summer of 2019 and deeply appreciated the insights the group had on that musical, serial recall task I am revising.

Concerning my current position, I think I am in that phase of post-doc life where data is coming in, I am trying my best to prepare for when it does all arrive (writing drafts of the papers, trying to write scripts that know what the data will look like), but it’s a slow process. It’ll all fall into place in the new year and might have some interesting posts to share then.

I spend a lot of time learning new things that I don’t really tweet or write about on the programming and stats front, but unlike before where I’d spout out whatever was on my mind on Twitter, I am finding I stay on track with my self-learning if I don’t talk about it much…

Finally, I am back teaching and supervising which means occasional trips up to Cambridge . The campus is gorgeous this time of year (couldn’t think of anywhere more stereotypical to walk around with a coffee between teaching with the leaves changing color) and after this past year have really done my best to try to take it all in.