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How I Learned to Stop Worrying about Big Data and Love the Data That Actually Counts - Counsyl Tech Talk

Counsyl

Thursday, July 18, 2013 from 7:00 PM to 9:00 PM (PDT)

How I Learned to Stop Worrying about Big Data and Love...

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Type End Quantity
Counsyl Tech Talk only Ended Free  
Counsyl Tech Talk and shuttle to Counsyl from SF Ended Free  

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Event Details

The cost of sequencing human genomes is plunging - 5x faster than the cost of computing.  The potential impact on preventive healthcare and the medical landscape is boundless.  The science is there but the scale isn't.  That's where Counsyl comes in.  We are building the technology platform to make genomics useful and accessible to everyone.  We hope you will join us on Thursday, July 18, from 7:00-9:00pm for our Tech Talk on How I Learned to Stop Worrying about Big Data and Love the Data That Actually Counts.

We look forward to hosting you at our newly renovated 60,000 square foot space in South San Francisco - oh and of course there will be food, drinks, and networking!
 
"How I Learned to Stop Worrying about Big Data and Love the Data That Actually Counts."
Imran Haque, Director of Research, Counsyl

A single current DNA sequencer can produce 540GB of raw data in a few hours -- without even covering an entire human genome. So, obviously, genomics must be a big data science.

In this talk I will deflate two pernicious myths: that "Big Data" is where all the action is, and that genomics is Big Data. I will explain why genomics, as practiced both in the clinic and in research, is distinct from other areas usually used to define "big data". In particular, a dearth of outcomes data means that interpretable regions of the genome are tiny, while the rest is all sequenced up with nowhere to go. I will further argue that despite this, genomics is one of the most interesting current areas of computer science and engineering, and is likely to be the latest wellspring for new innovations across the stack from architecture to AI. 
 

 

FAQs

 

What are my transport/parking options getting to the event?

Counsyl has ample parking at our location (180 Kimball Way, South San Francisco, CA) and we're also about 1 mile away (24 min) from the South San Francisco Caltrain Station. 
 
 
Below is our free shuttle schedule from/to San Francisco and the South SF Caltrain.
 
Pick-up Shuttle Stops Bus A Bus G
1) Pier 50 Mission Beach 5:15pm 5:45pm
2) 301 Howard St. (Modis Station) 5:30pm 6:00pm
3) Caltrain 4th St. Station (Walgreens) 5:45pm 6:20pm
4) 16th St. BART 6:10pm 6:45pm
5) South SF Caltrain station 6:45pm 7:05pm

 

Drop-off Shuttle Stops Bus C Bus T
1) South SF Caltrain 9:30pm 10:15pm
2) 24th St BART 9:45pm -
3) 16th St. BART - 10:30pm
4) Potrero St. and 16th St. - 10:35pm
5) Market/Church 9:55pm -
6) Powell St BART + Market St. stops 10:10pm -
7) Caltrain 4th St. Station - 10:40pm

 

Where can I contact the organizer with any questions?

Contact Justine Lam with any questions.

 

Can I update my registration information?

Yes, feel free to login to Eventbrite to update your registration information. This will help us better plan for the event. 

 

What is the hashtag for the event on Twitter?

#hackthegenome

Have questions about How I Learned to Stop Worrying about Big Data and Love the Data That Actually Counts - Counsyl Tech Talk? Contact Counsyl

When & Where


Counsyl
180 Kimball Way
South San Francisco, 94080

Thursday, July 18, 2013 from 7:00 PM to 9:00 PM (PDT)


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Organizer

Counsyl

http://jobs.counsyl.com

TechCrunch article on Counsyl

Over the last few years, we've grown from a dorm room start-up to become one of the largest clinical genome centers in the world. Our pre-pregnancy genomic test is now prescribed by physicians for more than 2.5% of all births in the United States. As you might imagine, handling this kind of volume puts us in terra incognita. Our situation is similar to the one faced by Amazon in the 90s, before anyone knew how to scale an operation with such highly interconnected physical and informational components.

To solve the problems associated with scaling the medical genome, we hire generalists rather than specialists. Our engineers are pragmatists who know when to use machine learning and when to use a simple regex, and understand in what sense those approaches are at different ends of a continuum. Many did not have a bioinformatics background before they joined, but all had strong fundamentals in data structures and algorithms.

Event Organizer: Justine Lam

  Contact the Organizer
  News and Updates
2013-08-01 18:26:42

For those of you that couldn't make our tech talk last month, we've written up a blog post on it with a link to the video at blog.counsyl.com

 

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