Who am I?
I'm a Market Research Manager in iTunes at Apple. Before that, I co-founded a teddy bear company called FanZanimal. Before that I went to Harvard Business School. Before that I worked for Bain & Company. Before that I went to Brown University and played lacrosse. Before that I went to Milton Academy. Before that I went to Meadowbrook. Before that I had nothing to do but root for the Red Sox.
 
See also: AlexBain.com, Twitter, Goodreads, Flickr, Vimeo, Last.fm, TripIt, Facebook, LinkedIn, Furio, My “favs”, & email
Quote from Tina Fey’s Esquire spread. I wish she’d get a late-night show. She’s funny when she’s scripted, but I think she’s even better at improv.
Hilarious exceprt from Eli Roth’s IMDB bio page.
I heard him interviewed, and looked him up to learn a little more. He’s also OCD and one of his obsessions is Nikola Tesla.
He gained 40 lbs. of muscle for Inglorious Bastards. In the interview, he revealed that he had a lengthy conversation with Tarantino about how authentic his Boston accent should be in the film: should it be a period-appropriate 1940’s Boston accent or a more recognizable, modern Masshole accent, & could he reference the Sox (he did).
The Koidin’s fantastic baby blog, Hapa Haole, has a great post on Maile’s first bracket.
Matt does a great job “interpreting” her penmanship.
As Alex and I struggle to come up with a name for our little guy, we’re hoping to draw on your wisdom for help. My aunt Alta suggested we solicit advice from friends and family for this issue. We’re hoping to pick a name that is common enough that everyone’s heard of it and knows how to spell it, but uncommon enough that there’s little chance of our guy having another kid with his name in any of his classes. Thoughts? Suggestions?
I promised Lisa I’d repost this request for name feedback. We’re brainstorming. There’s no wrong answers. You’re in the tree of trust.
When Lisa was a resident at MGH, some of her rotations had a healthy respect for the 80-hour limit, and some led to “bad weeks.”
We did the Malcolm Gladwell math on how long it would take Lisa to get her 10K hours and be an expert. It was the exact length of her residency program, 3 years of 80 hours a week. I could never understand, then, why surgeons needed 96 hours a week for 7 years. That’s well over 30K hours. No matter how complicated surgery is, the system is broken if it takes 30K hours to learn. For example, the article mentions that one of the ways they trimmed back the hours was by hiring “dozens of nurse practitioners to take over some of their work.” Um, if that was possible all along it’s inexcusable that they’ve only now taken that action.
The next thing about medicine that needs to be fixed is the standardized testing. Lisa has to take 8-hour tests every few years that have nothing to do with her chosen profession. To pass them, she has to cram useless facts into her head by studying 5-6 hours a day for ~6 weeks. The equivalent here of the nurse practitioner solution would be to make the subject matter of the tests topical, and confirm that the doctors that score well are doing so based on knowledge gained from their work, not memorized trivia.
I got fired up when someone mentions inefficiency in healthcare :-)
Lisa & I caught up with my b-school buddy, BRad, last night at Hukilau, a fantastic Hawaiian restaurant in the city. It was great to see Brad, but that meal kicked my ass.
We saw some of his friends from college afterwards, and one had just returned from a yoga retreat, where she’d hiked 70 miles and eaten little more than sprouted plants for seven days. I laughed and told her, “I don’t recycle, and I just ate deep-fried spam sushi.”
Here’s a great Boston Phoenix article about Ken Miller, a Brown University bio professor.
If you studied college biology, there’s an 80% chance your first textbook was written by him. He’s that widely respected.
I didn’t know this, but he’s also a devout Catholic, and the article describes his battles with both creationists and atheists.
Worth a quick read if you’ve interested in the intersection of science and religion.
We got the news today: it’s a boy.
Lisa and I will spend the next couple months choosing a name we like. In the mean time, I’ll call him Blaine Bain (as a gag). We got the idea from The Barretts, who call their on-the-way boy Garrett Barrett.
If you guessed boy… YOU’RE RIGHT!
Interestingly, 7 of 9 guesses on Tumblr were for boy, so maybe this crowd-sourcing thing works.
We’ve set up a site for the baby at LittleBain.com. It’s pretty thin on content, and will probably remain thin until mid-August. This way, all the people that had come to depend on this site for pictures of Lisa across a restaurant table won’t have to have their web-surfing disturbed by baby pics :-)
Creating a translation machine has long been seen as one of the toughest challenges in artificial intelligence. For decades, computer scientists tried using a rules-based approach — teaching the computer the linguistic rules of two languages and giving it the necessary dictionaries.
But in the mid-1990s, researchers began favoring a so-called statistical approach. They found that if they fed the computer thousands or millions of passages and their human-generated translations, it could learn to make accurate guesses about how to translate new texts.
Cool article about Google’s Translation Tool. The list of projects that might be easier to takle with billions of data points instead of rules is endless, & probably includes fields like healthcare, meteorology, calling football plays, etc.
via Andy McAfee
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