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ovadiaandsons:

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Gosh that Glen Plaid bow-tie is handsome.

jessethorn:

I think it’s important for me to post “Hovi Baby” once a quarter or so, because it’s basically a perfect rap song. Jay brings about seventeen million different styles, twelvedymillion clever little turns of phrase and jokes, and he never loses a completely crazy Just Blaze beat, all while sounding completely effortless. Which of course is Jay’s specialty.

Follow the flow.

“Murder in the City” by The Avett Brothers

I heard this song directly after seeing the last episode of the second season of Sherlock. 

 Needless to say, the room got a little dusty.

“Love Love Love” from, Of Monsters and Men

daveshumka:

John seems like a real fucking idiot.

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philadelphiaphillies:

This speaks to my soul on so many levels.

Yup.

nerdatronz:

crssaenz:

I really wish I had this poster

Saw this movie Saturday. 

Probably one of the best “horror” movies I’ve seen in a long time. Scratch that—just a good movie, regardless of genre. And not be a pretentious toolbox, but if you like to think at all when watching a movie, you’ll enjoy this one. 

I just saw this. First, this is an awesome movie poster. Second, it was a good movie. I missed the first couple of minutes, but it was pretty great. Fran Kranz should be in more things. Also, I think that there has not been a TV show or movie that Joss Whedon has been a part of, and that I have seen, that I have not really liked.

mapmeoblivion:

Rock Star Scientist Posters by Megan Lee

So great.

(via proofmathisbeautiful)

jessethorn:

HELLO, COMPUTER!

This scene is actually really important to my childhood. I can’t even articulate it.

2012 SIAM International Conference on Data Mining

Three weeks ago, I got on a plane and made my way to Los Angeles. I went for the Society of Industrial and Applied Mathematicians (SIAM) conference on data mining.

It was an amazing experience. I felt very out of place in a room filled with Professors, Assistant Professors, Post-Docs, and experts in industry. Even though I was not exactly all that qualified to be there, I learned a lot and felt energized by being around international experts.

For me there were two really exceptional speakers. First there was Bharat Rao of Siemens Medical Solutions. He talked about mining medical data to improve patient outcomes. One of the applications for mining medical data is to greater personalize healthcare. For example, all drugs work on only a subset of the population that they given to. If a doctor can determine whether a particular patient will respond well to a drug, then, not only is patient receiving a superior, more specialized therapy, but it will also be cheaper. Another motivation for the use of data mining techniques in medicine, is gene therapy. As gene therapy moves from the lab to the bedside, the amount of data to be analysed will grow exponentially and will be impossible for a human to analyse alone. Indeed, at some point, it may be unethical for a doctor to not use Computer Aided Diagnosis.

My favorite speaker was Eamonn Keogh. He is a Professor in the Computer Science and Engineering Department at the University of California - Riverside. In my opinion he made the most important statement of the conference: we should be using data mining technology, not to make lots of money working for Google, Facebook, or a financial company, but instead we should use our technology and knowledge to do something good for society. He said this before he presented his talk on what he termed Computational Entomology. Basically, what he wants to do is find a better, cheaper way to identify mosquitoes that cause malaria. The idea of tackling the important problems like this is exactly what I want to do. I pretty much want to have a career like Prof. Eamonn Keogh’s.