Sergey Brin
FameRank: 6

"Sergey Mikhaylovich Brin" is an American computer scientist and internet entrepreneur who, together with Larry Page, co-founded Google, one of the most profitable Internet companies. As of October 2014, his personal wealth was estimated to be US$29.9 billion. Brin and Page each own about 16 percent of the company.

Brin immigrated to the United States with his family from the Soviet Union at the age of six. He earned his undergraduate degree at the University of Maryland, College Park/University of Maryland, following in his father's and grandfather's footsteps by studying mathematics, as well as computer science. After graduation, he moved to Stanford University to acquire a PhD in computer science. There he met Larry Page, with whom he later became friends. They crammed their dormitory room with inexpensive computers and applied Brin's data mining system to build a Web search engine/search engine. The program became popular at Stanford and they suspended their PhD studies to start up Google in a rented garage.

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We just want to have great people working for us.

I don't think it's a big deal to show opera glasses to someone searching for binoculars that you somehow infer is a woman. But you don't want to pop up ads for H.I.V. drugs on someone's page, because you inferred they have H.I.V., when their boss is standing there looking at their computer.

Obviously everyone wants to be successful, but I want to be looked back on as being very innovative, very trusted and ethical and ultimately making a big difference in the world.

To me, this is about preserving history and making it available to everyone.

It's clear there's a lot of room for improvement, there's no inherent ceiling we're hitting up on.

We believed we could build a better search. We had a simple idea, that not all pages are created equal. Some are more important.

These two chefs will play an important role in managing the company's growing appetites.

I don't know what would have happened if we hadn't won that AOL deal.

Too few people in computer science are aware of some of the informational challenges in biology and their implications for the world. We can store an incredible amount of data very cheaply.