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Inter-disciplinary, multi-disciplinary, cross-disciplinary research research: it  is much laudedand encouraged  in academia. The reason is clear: cross-fertilization of ideas is undeniably a good thing. Interdisciplinary research allows for disciplines different fields  and cultures to borrow research each others  methods,practices,  approaches, and results from one another. results.  After all, scholars do not do research in a vacuum \cite{Pepe}. 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. Ever since From  my undergraduate degreeand all the way  through my graduate studies and 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 at 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.