deletions | additions       diff --git a/interdisciplinary.tex b/interdisciplinary.tex  index 0039099..6a6c825 100644  --- a/interdisciplinary.tex  +++ b/interdisciplinary.tex 
...
Inter-disciplinary, multi-disciplinary, cross-disciplinary research: it is much lauded in academia. The reason is clear: cross-fertilization of ideas is undeniably a good thing. Interdisciplinary research allows different fields and cultures to borrow each others others'  methods, approaches, and results. After all, scholars do not do research in a vacuum. And as the boundaries separating departments and disciplines fade, collaboration among them naturally increases. While interdisciplinary research is indeed a \textit{good} thing for academia, I would like to argue that it is a \textit{bad} choice to jumpstart an academic career. Here's my story. From my undergraduate degree through to my postdoc, I was pushed to take classes in other departments. My undergraduate degree was in \textbf{Astrophysics} and I took two or three classes in Computer Science. This is rather normal. A lot of physicists are (and need to be) good with computers. I liked these classes enough to apply for a Masters in \textbf{Computer Science} which I completed right after my Bachelor. I then worked two research jobs. The first at \href{http://www.cineca.it/en}{CINECA}, Italy, where I did Astronomical Data Visualization (a great way to blend Astrophysics and Computer Science). The second one at \href{http://home.web.cern.ch/}{CERN}, Switzerland, where I worked with data repositories, digital libraries, natural language processing, Open Access. In my years at CERN, I started getting more and more interested in data and information science. I applied and got into a Ph.D. program in \textbf{Information Studies} at UCLA where I worked with \href{http://christineborgman.info/}{Christine Borgman} - easily one of the top Information Scientists in the world.