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Mahalia K Miller

from Penngrove, CA
Age ~37
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Also known as:
Mahalia Katherine Miller
Related to:
Joshua E Miller, 45Michael J Miller, 83
Connected to:
Abraham M Miller, 47Adel Miller, 93Adena H Miller, 55Adir Miller, 44Africa L Miller, 45Afton M Miller, 40Agatha M Miller, 42Aileen Miller, 53Ajana J Miller, 45Ajay J Miller, 50

Mahalia Miller Phones & Addresses

  • Penngrove, CA
  • 199 Burnside Ave, San Francisco, CA 94131
  • Stanford, CA
  • 473 W Karner St, Stevens Point, WI 54481
  • Cambridge, MA
  • Urbana, IL

Work

Company: Facebook May 2018 Position: Ai product manager lead

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Stanford University 2009 to 2014 Specialities: Computer Science, Engineering, Philosophy

Skills

Machine Learning • Matlab • Data Analysis • Data Mining • Latex • Earthquake Engineering • Python • Mathematical Modeling • Computer Science • Simulations • Algorithms • Statistics • R • Software Engineering • Programming • Civil Engineering • Consulting • International Relations • Reliability Engineering • Structural Analysis • Modeling • Artificial Intelligence • Fortran • Numerical Analysis • Physics

Languages

English • German • Spanish • Thai

Industries

Computer Software

Resumes

Resumes

Mahalia Miller Photo 1

Ai Product Manager Lead

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Location:
Berkeley, CA
Industry:
Computer Software
Work:
Facebook
Ai Product Manager Lead
Deepmind
Product Manager
Google
Associate Product Manager
Stanford University Sep 2009 - Jul 2014
Phd Candidate In Civil Engineering, Phd Minor Candidate In Computer Science
Stanford University Sep 2010 - Jun 2014
Co-Head Community Associate For Rains Houses
Education:
Stanford University 2009 - 2014
Doctorates, Doctor of Philosophy, Computer Science, Engineering, Philosophy Massachusetts Institute of Technology 2005 - 2009
Bachelors, Bachelor of Science, Environmental Engineering University of Cambridge 2007 - 2008
Massachusetts Institute of Technology
Bachelors
Skills:
Machine Learning
Matlab
Data Analysis
Data Mining
Latex
Earthquake Engineering
Python
Mathematical Modeling
Computer Science
Simulations
Algorithms
Statistics
R
Software Engineering
Programming
Civil Engineering
Consulting
International Relations
Reliability Engineering
Structural Analysis
Modeling
Artificial Intelligence
Fortran
Numerical Analysis
Physics
Languages:
English
German
Spanish
Thai

Publications

Us Patents

Predicting Impact Of A Traffic Incident On A Road Network

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US Patent:
20130289865, Oct 31, 2013
Filed:
Apr 30, 2012
Appl. No.:
13/460230
Inventors:
Mahalia Katherine MILLER - Palo Alto CA, US
Chetan Kumar Gupta - San Mateo CA, US
International Classification:
G06G 7/76
US Classification:
701119
Abstract:
A method and system for predicting impact of traffic incidents on a road network by using a classification scheme to identify a known impact classes associated with captured traffic data.

Identifying Impact Of A Traffic Incident On A Road Network

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US Patent:
20130289864, Oct 31, 2013
Filed:
Apr 30, 2012
Appl. No.:
13/460203
Inventors:
Mahalia Katherine MILLER - Palo Alto CA, US
Chetan Kumar Gupta - San Mateo CA, US
Yin Wang - Sunnyvale CA, US
International Classification:
G06G 7/76
US Classification:
701119
Abstract:
A method and system for identifying impact of a traffic incident on a road network, wherein the impact may be measured in terms of a spatial-temporal-impact region, in terms of incident duration from the time the incident is reported to the time at which the affected road network returns to recurrent flow conditions, and in terms of a cumulative time delay of all affected drivers.

Systems And Methods Of Selecting Visual Elements Based On Sentiment Analysis

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US Patent:
20210365962, Nov 25, 2021
Filed:
Nov 13, 2018
Appl. No.:
16/975483
Inventors:
- Mountain View CA, US
Ira BLOSSOM - Mountain View CA, US
Zhenshuo FANG - Mountain View CA, US
Mahalia MILLER - Mountain View CA, US
Xiaoyu QU - Mountain View CA, US
Derek DUNFIELD - Mountain View CA, US
Yeo Jin REE - Mountain View CA, US
Nihan Gormez KARAHAN - Mountain View CA, US
Zachary GLEICHER - Mountain View CA, US
Jeffrey MIELKE - Mountain View CA, US
Holl LIOU - Mountain View CA, US
Karin HENNESSY - Mountain View CA, US
Assignee:
Google LLC - Mountain View CA
International Classification:
G06Q 30/02
G06N 20/00
Abstract:
Systems and methods for selecting visual elements to insert into content items based on sentiment analysis are detailed herein. A data processing system can establish a performance prediction model for content items correlating constituent visual elements to sentiment performance metrics using a training dataset. The data processing system can identify a content item and candidate visual elements to insert. The content item can have constituent visual elements. The data processing system can determine a total sentiment performance metric for the content item using the performance prediction model. The data processing system can determine a combinative performance metric between the candidate visual element and the visual elements using the performance prediction model. The combinative performance metric can indicate a predicted effect on the total performance metric. The data processing system can select a candidate visual element to insert into the content item based on the combinative performance metric.
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Mahalia K Miller from Penngrove, CA, age ~37 Get Report