Scott Davies personal email
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Currently I'm a senior software engineer at Google, working remotely in Los Angeles on YouTube user engagements. I'm a technical lead for public engagement counts, touching on freshness, accuracy, consistency, and dimensional data.On my previous team at Google, I worked on a customer-facing ads data product. There I developed and implemented algorithms for privacy protection and did a great deal of statistical work and simulation.I was a postdoc in the Theoretical Elementary Particle Physics Group at UCLA before joining Google. I also did my graduate work at UCLA. My research focus was studying the ultraviolet properties of (super)gravity theories through symmetries and direct computation.Prior to coming to UCLA, I spent two years on Wall Street at a mortgage-backed securities trader where, along with my team, I bought, managed, securitized, and sold mortgage loans in secondary markets.I am passionate about solving difficult problems with a team. I have found coding, computation, and data analysis to be invaluable tools.
- Website:
- google.com
- Employees:
- 1
- Company phone:
- 916.253.7820
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Software EngineerGoogle Nov 2015 - PresentMountain View, Ca, Us• Technical lead for engagement counting at YouTube, focusing on serving freshness, consistency across user and Creator surfaces, and accuracy of user-facing and dimensional Creator-facing data. Heavily involved in data pipelines.• Led multiple sensitive count-affecting projects, particularly in subscriber counting and comment counting.• Designed set-comparison tool using MinHash and an original complementary algorithm for privacy protection against differential SQL attacks in a customer-facing ads data product.• Designed simulation to find optimal ad-throttling score, balancing brand lift (a type of survey lift) with view-through rate (VTR). Performed statistical analysis.• Currently working in C++; have previously worked in Java and Go. -
Postdoctoral ScholarUcla Sep 2013 - Sep 2015Los Angeles, Ca, Us• Coded in Mathematica's Wolfram Language to perform state-of-the-art computations via parallel processes to directly determine ultraviolet behavior of gravity theories through four loops.• Wrote code for memory-intensive processes with optimization inspired by both physics and code-design techniques to perform computations that were, even recently, considered unachievable.• With collaborators, showed that supergravity amplitudes that were generally expected to be ultraviolet divergent are in fact ultraviolet finite, a result that remains unexplained by standard arguments.• Published original research papers in academic journals.• Publications: 12 (list below), Citations: 200+.• Gave technical talks at international conferences and seminars. -
Teaching AssistantUcla Sep 2009 - Mar 2012Los Angeles, Ca, Us• Received UCLA Physics and Astronomy Outstanding Teaching Award.• Gave lectures in upper- and lower-division undergraduate physics courses in classical mechanics, electricity and magnetism, optics, waves, thermodynamics, and statistical mechanics.• Wrote exam and homework solutions. -
Member Of Experiment For Direct Detection Of Dark Matter (Xenon-100)Ucla Jul 2008 - Sep 2008Los Angeles, Ca, Us• "Zeroth-year" research position prior to start of graduate coursework.• Found fundamental flaws due to thermal excitation in proposed plasma centrifuge for separating xenon and argon isotopes, thereby avoiding the construction of a potentially costly failed device.• Used SOLIDWORKS CAD software for design of experimental devices. -
Mortgage-Backed Securities Associate TraderBanc Of America Securities, Llc Jun 2006 - Jul 2008Charlotte, Nc, Us• Built and maintained tool in VBA for pricing, risk management, and securitization of mortgages.• In team of 2-3, bought, securitized, and sold over $100 billion in mortgage loans using VBA tool.• Managed risk and hedged large position of loans in volatile market conditions using mortgage securities and interest rate swaps.• Produced daily reports of hedge performance and desk profit and loss.• Proposed and implemented new securitization techniques increasing the profit on the purchase and sale of a loan by as much as 0.4% of the loan value. -
Mortgage-Backed Securities Trading Strategies Summer AnalystBanc Of America Securities, Llc Jun 2005 - Aug 2005Charlotte, Nc, Us• 10-week internship that led to hire as full-time securities trader.• Developed predictive mortgage prepayment model using regression analysis that had quantifiable improvement over previous model and went into production.• Used Perl to produce daily model reports for trading desk use. -
Data Analysis Team Member For Airborne Synthetic Aperture Radar (Airsar) DivisionJpl (Nasa'S Jet Propulsion Laboratory) Jun 2004 - Sep 2004Pasadena, Ca, Us• Interfaced a RAID system, a Macintosh G5 Server, and a tape autoloader for real-time radar-data collection for terrain mapping. -
Programmer And Data Analyzer For High Energy Physics DepartmentCalifornia Institute Of Technology Jun 2003 - Sep 2003Pasadena, Ca, Us• Organized, debugged, and rewrote C++ code to be used for data analysis for particle collisions in the Compact Muon Solenoid at the Large Hadron Collider in Switzerland.
Scott Davies Skills
Scott Davies Education Details
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UclaPhysics -
CaltechApplied Physics And Economics
Frequently Asked Questions about Scott Davies
What company does Scott Davies work for?
Scott Davies works for Google
What is Scott Davies's role at the current company?
Scott Davies's current role is Software Engineer at Google.
What is Scott Davies's email address?
Scott Davies's email address is sc****@****ail.com
What is Scott Davies's direct phone number?
Scott Davies's direct phone number is +171420*****
What schools did Scott Davies attend?
Scott Davies attended Ucla, Caltech.
What are some of Scott Davies's interests?
Scott Davies has interest in Collecting Antiques, Exercise, Home Improvement, Reading, Gourmet Cooking, Sports, The Arts, Home Decoration, Health, Collecting Coins.
What skills is Scott Davies known for?
Scott Davies has skills like Mathematica Programming, C++, Physics, Scientific Computing, Scientific Writing, University Teaching, Scientific Presentation, Java, Statistics.
Who are Scott Davies's colleagues?
Scott Davies's colleagues are Sari Kauvosaari, Emilly Ramalho, Marcus Hsu, Santiago Mora Paseo 179, Do Nguyen, Xin Li, Priyanshu Janmeda.
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