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Aaron Archer Waterman, 41Mountain View, CA

Aaron Waterman Phones & Addresses

Mountain View, CA   

Garner, NC   

Fuquay Varina, NC   

161 Thorn Ln APT 7, Newark, DE 19711   

Roxbury, VT   

Yardley, PA   

Ewing, NJ   

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Aaron Waterman resumes & CV records

Resumes

Aaron Waterman Photo 27

Engineering Manager

Location:
San Francisco, CA
Industry:
Computer Software
Work:
Quora
Engineering Manager - Machine Learning
Lyra Health Jul 2015 - Jun 2018
Head of Data Science
Kyron, Inc. Sep 2014 - Jun 2015
Software Engineer and Data Scientist
Performancestar Dec 2010 - Sep 2014
Research Scientist and Engineer
Ibm Aug 2007 - Dec 2010
Software Engineer
Aug 2007 - Dec 2010
Engineering Manager
Education:
University of Delaware 2004 - 2006
Master of Science, Masters, Computer Science
The College of New Jersey 2001 - 2004
Bachelors, Bachelor of Science, Computer Science
Skills:
Machine Learning, Artificial Intelligence, Genetic Programming, Genetic Algorithms, Evolutionary Algorithms, Support Vector Machines, Clustering, Data Mining, Information Retrieval, Data Analysis, Java, Sql, Python, Xml, Eclipse, Linux, Shell Scripting
Aaron Waterman Photo 28

Aaron Waterman

Publications & IP owners

Us Patents

Health Provider Matching Service

US Patent:
2017035, Dec 7, 2017
Filed:
Jun 3, 2016
Appl. No.:
15/172435
Inventors:
- Burlingame CA, US
Daniella J. Perlroth - Palo Alto CA, US
Aaron Archer Waterman - Mountain View CA, US
International Classification:
G06F 19/00
Abstract:
A health provider matching service is provided to match patients to health providers based on a semantic relationship graph of data associated with conditions of patients. Using natural language processing, the service identifies terms describing symptoms, treatments, and health providers associated with a condition. The service then identifies semantic relations among the terms and probability distributions of the terms to generate a semantic relationship graph. Quality information of therapists is combined with machine learning techniques to identify features that are used to distinguish high quality and low quality providers. Based on the semantic relationship graph and the derived quality information, the service matches a patient to a health provider suitable to treat the particular needs of the patient. The service also handles social, behavioral, or emotional issues for which medications are not appropriate.

Method And Apparatus For Autonomous Tool Parameter Impact Identification System For Semiconductor Manufacturing

US Patent:
2017032, Nov 16, 2017
Filed:
Aug 2, 2017
Appl. No.:
15/666765
Inventors:
- Tokyo, JP
Sukesh Janubhai Patel - Sunnyvale CA, US
Wolfgang Polak - Sunnyvale CA, US
Aaron Archer Waterman - Mountain View CA, US
Orion Wolfe - Oakland CA, US
International Classification:
G05B 19/418
Abstract:
A system and method autonomously determines the impact of respective tool parameters on tool performance in a semiconductor manufacturing system. A parameter impact identification system receives tool parameter and tool performance data for one or more process runs of the semiconductor fabrication system and generates a separate function for each tool parameter characterizing the behavior of a tool performance indicator in terms of a single one of the tool parameters. Each function is then scored according to how well the function predicts the actual behavior of the tool performance indicator, or based on a determined sensitivity of the tool performance indicator to changes in the single tool parameter. The tool parameters are then ranked based on these scores, and a reduced set of critical tool parameters is derived based on the ranking. The tool performance indicator can then be modeled based on this reduced set of tool parameters.

Personalized Adaptive Risk Assessment Service

US Patent:
2017026, Sep 14, 2017
Filed:
Mar 8, 2016
Appl. No.:
15/063785
Inventors:
- Burlingame CA, US
Aaron Archer Waterman - Mountain View CA, US
International Classification:
G06F 19/00
Abstract:
A behavioral health risk assessment service is provided to determine the behavioral health risk of a patient using personal demographic information and the patient's responses to adaptive screening questions. The screening questions are customized to the patient using machine learning techniques such as decision trees that optimize the amount of expected information gain on the behavioral health risk of the patient. A model of the patient's activity such as exercise and sleep is also generated and trained using data collected from smart devices used by the patient. Based on the determined behavioral health risk, the risk assessment service refers the patient to an appropriate provider, such as a therapist, to treat any diagnosed behavioral health conditions.

Personalized Multi-Dimensional Health Care Provider-Patient Matching

US Patent:
2017019, Jul 6, 2017
Filed:
Jan 5, 2016
Appl. No.:
14/988051
Inventors:
- Burlingame CA, US
Aaron Archer Waterman - Mountain View CA, US
International Classification:
G06F 19/00
Abstract:
A personalized health care provider matching service is provided to rank and select the best matched health care providers for a patient across multiple dimensions according to the patient's medical conditions, non-medical factors and treatment preferences. Each medical condition of the patient represents a dimension. The service measures a provider's level of competency for treating a medical condition, e.g., based on the provider's drug prescription patterns in treating the medical condition measured against a reference practice standard. The provider matching service ranks the providers across the multiple medical conditions/treatment needs of a patient, where the rankings of the providers represent the providers' competency across multiple dimensions. The provider matching service assesses a patient's needs across different medical conditions and applies different weights to different corresponding dimensions in ranking the providers. The provider matching service selects one or more the best matched providers to the patient based on the providers' rankings.

Method And Apparatus For Autonomous Tool Parameter Impact Identification System For Semiconductor Manufacturing

US Patent:
2014013, May 15, 2014
Filed:
Nov 9, 2012
Appl. No.:
13/673306
Inventors:
- Tokyo, JP
Sukesh Janubhai Patel - Cupertino CA, US
Wolfgang Polak - Sunnyvale CA, US
Aaron Archer Waterman - Mountain View CA, US
Orion Wolfe - Oakland CA, US
Assignee:
TOKYO ELECTRON LIMITED - Tokyo
International Classification:
G05B 15/00
US Classification:
700121
Abstract:
A system and method for autonomously determining the impact of respective tool parameters on tool performance in a semiconductor manufacturing system is provided. A parameter impact identification system receives tool parameter and tool performance data for one or more process runs of the semiconductor fabrication system and generates a separate function for each tool parameter characterizing the behavior of a tool performance indicator in terms of a single one of the tool parameters. Each function is then scored according to how well the function predicts the actual behavior of the tool performance indicator, or based on a determined sensitivity of the tool performance indicator to changes in the single tool parameter. The tool parameters are then ranked based on these scores, and a reduced set of critical tool parameters is derived based on the ranking. The tool performance indicator can then be modeled based on this reduced set of tool parameters.

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