Welcome, curious visitor!

Hi, I'm Ulrich. I live and work in London. I think globally. What I do really well is interpret data.

This is my personal snippet of the internet.

I like you, because you found it. You may be here because we met, you searched on Google or you just got lost while browsing (nice one). If you want to share something, you'll find a contact form on the bottom. It works!

Have a look at what I do, what I do when I'm not working somewhere inside and how to connect with me.

How I do things is a different question. I believe in having a purpose and a guiding principle. But before I bore you, here is a telling picture:

Or an even simpler summary:

Let's get in touch if you are interested in data science (statistics, econometrics, analytics, you name it). Even more so for less professional reasons: Write me if you like to quantify yourself or if something else here resonates with you.

MC Escher would be my preferred portrait painter.

Works

How do you spend your time?

Methods, insights, experiences

Data scienceDuring my time at the University of Mannheim, I explored the causal effects of public R&D support. Heavy econo-metric stuff: Empirics in Biotechnology. Later, at the London School of Economics, I ventured into research methods such as the experience sampling method (ESM). This lead to a paper available here. (Don't even get me started on access fees…)

Currently, I'm employed full time by a market research/consulting firm and hence not available to work free-lance. A small portion of my time is set apart for pro bono work, so please do not hesitate to contact me.

Parts of my work experience were in Italy, Germany, Canada and England. I was lucky enough to work with leading thinkers such as Matthias Horx and Richard Florida.

Data Science

StataThe learning curve for quantitative methods and statistical software can be steep. As some people got their talents elsewhere, I help out with empirical and technical aspects of doing research or analytics. More challenging is the "last mile": identifying and communicating relevant insights. Often statistics is not very intuitive. My aim is to enable you to think statistically and to see the data.

Feel free to download my Stata graph scheme, which tries to apply Edward Tufte's visual principles.

tufte.scheme and instructions on how to install it.

Here are my templates for SPSS, which produce much nicer looking tables and graphs. In the future I'll also share more tricks for R and SAS.

Smorgasbord

WorldMy interests are manifold (yes, that includes collecting fancy words):

Writing essays, for instance on the meta-topic of generalism, translating TED talks, traveling, playing tour guide in London, reading Pratchett's novels, etc … and, my personal favorite, training for the one-handed pull-up.

You may see me swing dancing or running through the City doing street-orienteering. My current mission is to do more with my hands, which (interestingly) manifests itself as baking.

Lastly, we are all curious about ourselves. And sometimes (sadly?), statistics mean nothing to the individual. That's why I like the idea of the Quantified Self and try to participate myself.

Lastly, I travel. A lot.

Mountains

Descriptions, details, and more (hopefully) to come soon!

Mountaineering is my personal yang, where I try to to balance all those hours spent indoors or in front of a computer. The following tours are some of the best.
Photos taken other than me are by my brother, Hannes or my long-standing climbing partner Paul.
South Tyrol is small, remote and conservative. Yet I love it – the mountain landscape, the cultural melting pot, the simple, stubborn, sublime people. Are we real Italians?

Connect with me

Note that I treat social networking tools rather »stepfatherly«. As you see there's no blog, facebook or other dynamic content. This may change soon. Or not. This is a static website in a non-linear world. The following links may not be quite so up-to-date.

Fill out the form and I'll get right back to you... (Make sure you provide a name and an email.)

dm