AlexanderPlatt

A Brief History of Alex

Or: Alex in a nutshell. Or: cutting a short story shorter

Hello.

Nice of you to be here.

I hope you enjoyed the tree on the homepage.

It's a recent addition that makes first contact with this website magnitudes slower.

And the slower the website, the better (warning: that link uses a lot of bad words!).

But the foliage looks nice and trees are good.

In fact, I'm going to be controversial now. I'm going out on a limb: I like trees.

There, I said it.

I made this website for fun, a piece of internet real-estate, but I'm afraid it doesn't have much purpose.

I did, however, try to make it as good a website as possible.

Everything is hand written for your delectation.

No 1000-line auto-generated code here! Just plain old HTML.

The w3 markup validator is happy. Page speeds is happy.

I hope you are too.

Go on...

Well and good, you say, but I still don't know anything about this Platt character. Who is he?

Fair enough. Platt. Doesn't sound great.

I am a PhD student at the Max Planck Institute for Biological Cybernetics, looking at socially situated reinforcement learning. My supervisor is Peter Dayan.

During my PhD, I've visited Patrick Haggard's lab, and used signal detection theory to model perception. And with Iyad Rahwan, I helped develop an agent-based model of information propogation.

In addition, I worked for some time with Richard Bailey looking at the dynamics of economic trades in complex human-environment systems.

Part-time, I work with a team designing EEG hardware. I mostly work on the software (Android) and develop their website and marketing materials.

The past past

Previously, I was a front and backend developer designing agent-based crowd simulation software. In particular, I was part of a German-Franco research project that combined crowd simulations in Java with Bayesian optimization in Python to predict real-time changes in pedestrian dynamics at public events.

I studied Psychology (MSc) and Mathematics (BSc), particularly optimisation under uncertainty (game theory, POMDPs, and non-convex optimisation).

Finally

In my spare time I like to write (a novel — oh good Lord, yes, I'm one of them) and make moosic (I'm the trumpet player on this track).

Here is a hedgehog.