Hey there! My name is Katherine Larson and I joined on as a Data Scientist in July 2016, though I had been interning with the firm since 2014. Since my first internship with Booz Allen, it’s been embedded in my head that data is the key to everything. All the trends in the data hold meaning, but it’s up to us to discover what that meaning is through data science techniques. Read More
Category Archives: Booz Allen
Vegetarians don’t understand what I am about to tell you. I know they like to tell you that veggie-burgers can be just as good; but anyone with a true addiction to the great North American bovine knows it is simply false. So here it goes: my father has not had a cheeseburger in 18 months. On the law of averages in this country that would make him a carnivorous outlier. But Bernie is no ordinary carnivore. Dad is a man who enjoys his burgers so much that a table of raucous companions would come to silence on the rare occasion he would order any another dish at a restaurant. But he has not had a burger in 18 months. The sad fact is that cancer not only takes the people we love, it can also take a way of life. Read More
That’s why, in 2015, the office of the Vice President announced the Cancer Moonshot. It’s an audacious effort to make a decade’s worth of progress in cancer prevention, diagnosis, and treatment in just five years.
Beginning today, the 2017 Data Science Bowl will pursue one of the Cancer Moonshot’s key goals: unleashing the power of data against this deadly disease. Presented by Booz Allen and Kaggle, the competition will convene the data science and medical communities to develop cancer detection algorithms, and help end the disease as we know it. Read More
“Kelly has cancer,” my dad said softly.
Knees weak, I sat down on the bed. I didn’t know if my sister was going to live. And, despite us having spent decades doing everything together, she’d have to fight this battle on her own. I’m not the only one who’s heard that kind of call. The moment I experienced was not singular to me, it is one that is repeated over 12.7 million times each year – with over half of those ultimately not surviving. Read More
Tencia Lee, a Math graduate and hedge fund trader, partnered with Qi Liu, a PhD in Physics also with a hedge fund background, to devise the winning algorithm in this year’s Data Science Bowl. They spent more than 100 hours each in evenings and on weekends building and testing algorithms. Working in parallel, Lee and Liu built and trialled hundreds of algorithms to read the heart scans. Their efforts paid off, with the largest prize in the competition, among 993 data scientist contestants in the Data Science Bowl. In this blog, Tencia Lee reveals the work behind the win. Read More
Can we determine clinical applicability?
This year’s competition was intended to catalyze a change in cardiac diagnostics, so connecting the competition participants and the medical community is an essential part of the DSB. I have done some preliminary analysis of the Data Science Bowl’s (DSB) top 4 team submissions. The goal is to present the results in terms that are meaningful to the medical research community. In doing so I hope to spark a dialog between the communities. Read More
Each day, 1,500 people in the U.S. are diagnosed with heart failure. And yet, despite decades of medical advancements, assessing cardiac function remains a time-consuming undertaking.
Until, potentially, now. Read More
This year is the first time that Booz Allen and NVIDIA have partnered to enter a team into the Data Science Bowl. Our goal for this combined team was to share some of our successes and challenges along the way, as well as to provide insight into how to approach this type of competition. We’ve been able to post updates about our progress, respond to questions on the Kaggle forums, and help other teams find new ways of looking at the problem. Of course, we’re also hoping that by combining our talent and resources we will be able to come up with a top solution – even if we’re not eligible for the prize money. Read More