Lightinging Round! 2019 [PWL NYC]

We've got a special edition of Papers We Love tonight as we round up a gang of speakers for Lightning Talks! Each speakers will present for 15 - 20m on a topic dear to their heart related to computers. We're still filling out the list of talks but you can see some of them below:

* Talk: Approximation Algorithms for Lawn Mowing and Milling - http://www.ams.sunysb.edu/~jsbm/papers/lawn-mow-cgta.pdf

Catherine Holloway almost completed a PhD in experimental quantum optics at the University of Waterloo's Institute for Quantum Computing but dropped out to work at a few robotics and quantum computing startups. She currently lives in Manhattan and is an SRE at Bloomberg.

* Talk: Branch Prediction and the Performance of Interpreters - Don't Trust Folklore (Erven Rohou, Bharath Narasimha Swamy, André Seznec, 2015). https://hal.inria.fr/hal-01100647/document

Max Marrone is a recent computer science graduate whose other interests include aviation and design. He aspires to someday be able to transfer laundry from the washer to the dryer without accidentally dropping wet clothing all over the dirty floor

* Talk: The Sensitivity Conjecture Solved!
http://www.mathcs.emory.edu/~hhuan30/papers/sensitivity_1.pdf

Homin Lee has a PhD in computational learning theory, and is currently a data scientist at Datadog.

* Talk: Flipping Bits in Memory Without Accessing Them: An Experimental Study of DRAM Disturbance Errors (Yoongu Kim, Ross Daly, Jeremie Kim, Chris Fallin, Ji Hye Lee, Donghyuk Lee, Chris Wilkerson, Konrad Lai, Onur Mutlu) - http://users.ece.cmu.edu/~yoonguk/papers/kim-isca14.pdf

Andrew Gross graduated with a degree in Applied Physics and the knowledge that he did not want to pursue a career in it. He currently lives in Queens and works as a Staff Engineer at YipitData.

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PWL NYC would like to thank DataDog for sponsoring this meetup!
https://datadoghq.com | https://www.datadoghq.com/careers
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