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Roger Hu

from Weehawken, NJ
Age ~47
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Related to:
Amanda E Lee, 40Vincent Chun Lee, 49Xin Ho Li, 61Cathleen C Hu, 41Yoon Lee, 50
Connected to:
Aaron S Hu, 39Ally Y Hu, 68Angela X Hu, 63Bingren Hu, 66Calvin L Hu, 56Charlie C Hu, 57Chenchen Hu, 38Chengqing Hu, 38Chin T Hu, 73Christian C Hu, 60

Roger Hu Phones & Addresses

  • Weehawken, NJ
  • 235 E 13Th St APT 4E, New York, NY 10003 (917) 302-0947
  • 447 Mayan Dr, Henderson, NV 89014
  • 1123 Puffin Ct, North Las Vegas, NV 89031
  • Upland, CA
  • Charlestown, MA
  • Somerville, MA
  • Cambridge, MA
  • Amherst, MA

Resumes

Resumes

Roger Hu Photo 1

Software Engineer

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Location:
San Francisco, CA
Industry:
Computer Software
Work:
Broad Institute since May 2012
Associate Computational Biologist
Harvard Medical School, Silver Lab May 2011 - Apr 2012
Research Assistant
Education:
Harvard University 2008 - 2012
A.B., Applied Mathematics
Skills:
Machine Learning
R
Programming
Python
Data Analysis
Computational Biology
Data Science
Algorithms
Research
C
Mathematical Modeling
Java
Matlab
Algorithm Design
Roger Hu Photo 2

Founder

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Location:
New York, NY
Industry:
Financial Services
Work:
Accenture
Managing Director
Ibm Feb 2007 - Apr 2017
Partner, North American Wealth Management Leader
Morgan Stanley Jan 2005 - Feb 2007
Director, Wealth Sales Program Leader
Morgan Stanley Apr 2003 - Oct 2005
Director, National Sales, Field Strategy and Local Markets Director
Bearingpoint Sep 2000 - Apr 2003
Manager
Education:
Amherst College 1995 - 1999
Bachelors, Bachelor of Arts, Economics Nyu Stern Business School
Nyu Stern School of Business
Master of Business Administration, Masters, Marketing, Finance
Skills:
Management Consulting
Management
Business Analysis
Financial Modeling
Program Management
Business Strategy
Financial Services
It Strategy
Business Transformation
Outsourcing
Strategy
Portfolio Management
Strategic Planning
Risk Management
Business Process Improvement
Business Planning
Digital Wealth
Artificial Intelligence
Advanced Analytics
Merger Integration
Salesforce
Design Thinking
Agile and Waterfall Methodologies
Leadership
Business Development
Talent Management
Certifications:
Ibm Advisory Project Manager
Financial Markets Insights & Solutions (Gold)
Ibm
Roger Hu Photo 3

Founder

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Location:
New York, NY
Work:
Wealthtransformed
Founder
Roger Hu Photo 4

Roger Hu

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Roger Hu
Manager
447 Equity, LLC
235 E 13 St, New York, NY 10003

Publications

Us Patents

Systems And Methods For Automatic Clustering And Canonical Designation Of Related Data In Various Data Structures

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US Patent:
20220374454, Nov 24, 2022
Filed:
Jul 15, 2022
Appl. No.:
17/812984
Inventors:
- Palo Alto CA, US
Rahul Mehta - New York NY, US
Daniel Erenrich - Mountain View CA, US
Guillem Palou Visa - London, GB
Roger Hu - New York NY, US
Xavier Falco - London, GB
Rowan Gilmore - London, GB
Eli Bingham - New York NY, US
Jason Prestinario - New York NY, US
Yifei Huang - Jersey City NJ, US
Daniel Fernandez - New York NY, US
Jeremy Elser - New York NY, US
Clayton Sader - San Francisco CA, US
Rahul Agarwal - San Francisco CA, US
Matthew Elkherj - Menlo Park CA, US
Nicholas Latourette - San Francisco CA, US
Aleksandr Zamoshchin - Aurora CO, US
International Classification:
G06F 16/28
G06K 9/62
Abstract:
Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Quantifying, Tracking, And Anticipating Risk At A Manufacturing Facility Based On Staffing Conditions And Textual Descriptions Of Deviations

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US Patent:
20200143302, May 7, 2020
Filed:
Jan 7, 2020
Appl. No.:
16/736484
Inventors:
- Palo Alto CA, US
Kai Shen - Jersey City NJ, US
Roger Hu - New York City NY, US
Sachi Shah - San Francisco CA, US
Miklos Danka - London, GB
Laurynas Pliuskys - London, GB
Thomas Pearson - Twickenham, GB
International Classification:
G06Q 10/06
Abstract:
A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes generating a risk data model for the manufacturing facility based on correlations between historical staffing conditions of the manufacturing facility and deviations from existing manufacturing procedures. The method further includes receiving projected operational data that includes information related to anticipated future staffing conditions of the manufacturing facility. The method further includes calculating a risk score based on the projected operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score.

Systems And Methods For Automatic Clustering And Canonical Designation Of Related Data In Various Data Structures

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US Patent:
20190079937, Mar 14, 2019
Filed:
Nov 13, 2018
Appl. No.:
16/189040
Inventors:
- Palo Alto CA, US
Rahul Mehta - New York NY, US
Daniel Erenrich - Mountain View CA, US
Guillem Palou Visa - London, GB
Roger Hu - New York NY, US
Xavier Falco - London, GB
Rowan Gilmore - London, GB
Eli Bingham - New York NY, US
Jason Prestinario - New York NY, US
Yifei Huang - Jersey City NJ, US
Daniel Fernandez - New York NY, US
Jeremy Elser - New York NY, US
Clayton Sader - San Francisco CA, US
Rahul Agarwal - San Francisco CA, US
Matthew Elkherj - Menlo Park CA, US
Nicholas Latourette - San Francisco CA, US
Aleksandr Zamoshchin - Aurora CO, US
International Classification:
G06F 17/30
Abstract:
Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.

Systems And Methods For Attribute Analysis Of One Or More Databases

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US Patent:
20190065578, Feb 28, 2019
Filed:
Oct 26, 2018
Appl. No.:
16/172616
Inventors:
- Palo Alto CA, US
James Ong - New York NY, US
Howard Carter - Providence RI, US
Joy Tao - New York NY, US
Mark Schafer - New York NY, US
Barry McCardel - New York NY, US
Kelsey Falter - New York NY, US
Roger Hu - New York NY, US
International Classification:
G06F 17/30
G06F 3/0482
G06F 3/0484
Abstract:
Systems and techniques for indexing and/or querying a database are described herein. Multiple, large disparate data sources may be processed to cleanse and/or combine item data and/or item metadata. Further, attributes may be extracted from the item data sources. The interactive user interfaces allow a user to select one or more attributes and/or other parameters to present visualizations based on the processed data.

Systems And Methods For Automatic Clustering And Canonical Designation Of Related Data In Various Data Structures

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US Patent:
20170052958, Feb 23, 2017
Filed:
Aug 10, 2016
Appl. No.:
15/233149
Inventors:
- Palo Alto CA, US
Rahul Mehta - New York NY, US
Daniel Erenrich - Mountain View CA, US
Guillem Palou Visa - London, GB
Roger Hu - New York NY, US
Xavier Falco - London, GB
Rowan Gilmore - London, GB
Eli Bingham - New York NY, US
Jason Prestinario - New York NY, US
Yifei Huang - Jersey City NJ, US
Daniel Fernandez - New York NY, US
Jeremy Elser - New York NY, US
Clayton Sader - San Francisco CA, US
Rahul Agarwal - San Francisco CA, US
Matthew Elkherj - Menlo Park CA, US
Nicholas Latourette - San Francisco CA, US
Aleksandr Zamoshchin - Aurora CO, US
International Classification:
G06F 17/30
Abstract:
Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.
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Roger Hu from Weehawken, NJ, age ~47 Get Report