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Darren E Vengroff

from South Orange, NJ
Age ~57
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Also known as:
Darren Erik Vengroff, Darren E Vengross, Darren E Hoover, Darren F
Phone and address:
378 Warwick Ave, South Orange, NJ 07079
(206) 322-2263
Related to:
Jay F Friet, 60Frances Hiemstra, 76Leah Hill, 50Theodore Hiemstra, 77Rebekah Hiemstra, 42Paul Hiemstra, 47
Connected to:
John A Vengroski, 81Cathy M Vengrouskie, 72Gajanan R Vengurlekar, 56Sushant S Vengurlekar, 46Tushar V Vengurlekar, 49Dustin K Venham, 44Debra J Venhaus, 71George J Venhaus, 95Juli K Venhaus, 66Randall G Venhaus, 65

Darren Vengroff Phones & Addresses

  • 378 Warwick Ave, South Orange, NJ 07079 (206) 322-2263
  • Maplewood, NJ
  • Mount Laurel, NJ
  • 3111 E Republican St, Seattle, WA 98112
  • 79 Worth St, New York, NY 10013
  • 201 69Th St, New York, NY 10021
  • Ann Arbor, MI
  • Washington, DC
  • Durham, NC

Work

Company: Hestan smart cooking inc 2015 to 2017 Position: Chief scientist

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Brown University 1991 to 1997 Specialities: Computer Science

Skills

Software Engineering • Algorithms • Start Ups • Software Development • Analytics • Big Data • E Commerce • Computer Science • Machine Learning • Online Advertising • Strategy • Mobile Devices • Scalability • Management • Distributed Systems • Python • Recommender Systems • Software Design • Hadoop • Mobile Applications • Leadership • Data Mining • Behavioral Targeting • Mysql • Databases • Cloud Computing • Perl • Agile Methodologies

Industries

Internet

Resumes

Resumes

Darren Vengroff Photo 1

Senior Vice President

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Location:
378 Warwick Ave, South Orange, NJ 07079
Industry:
Internet
Work:
Hestan Smart Cooking Inc 2015 - 2017
Chief Scientist
Two Sigma 2015 - 2017
Senior Vice President
Early Stage Startup 2010 - 2016
Advisor
Meld 2014 - 2015
Co-Founder and Chief Scientist
Bill & Melinda Gates Foundation 2014 - 2015
Advisor - Digital Financial Services Platform Enablers
Education:
Brown University 1991 - 1997
Doctorates, Doctor of Philosophy, Computer Science Brown University 1993 - 1993
Princeton University 1985 - 1989
Bachelor of Science In Engineering, Bachelors, Computer Science
Skills:
Software Engineering
Algorithms
Start Ups
Software Development
Analytics
Big Data
E Commerce
Computer Science
Machine Learning
Online Advertising
Strategy
Mobile Devices
Scalability
Management
Distributed Systems
Python
Recommender Systems
Software Design
Hadoop
Mobile Applications
Leadership
Data Mining
Behavioral Targeting
Mysql
Databases
Cloud Computing
Perl
Agile Methodologies

Business Records

Name / Title
Company / Classification
Phones & Addresses
Darren Vengroff
Principal
Spot Dash Dev LLC
Nonclassifiable Establishments
3111 E Republican St, Seattle, WA 98112
Darren Vengroff
Chief Technology Officer
Pelago, Inc
Computer Systems Design
1201 3 Ave, Seattle, WA 98101
(206) 223-0660
Darren Vengroff
Chief Technology Officer
Pelago
Internet · Computer Systems Design
1201 3 Ave SUITE 800, Seattle, WA 98101
(206) 223-0660

Publications

Us Patents

Location-Based Information Determination

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US Patent:
7953548, May 31, 2011
Filed:
Apr 14, 2008
Appl. No.:
12/082836
Inventors:
Darren E. Vengroff - Seattle WA, US
Oliver B. Downs - Redmond WA, US
Assignee:
Pelago, Inc. - Seattle WA
International Classification:
G01C 21/00
US Classification:
701202, 701206, 701207, 701300, 34099526, 34099527
Abstract:
Techniques are described for determining and providing location-based information, including based on decomposing a geographic area into numerous smaller areas and using one or more layers of polygons to represent various of the smaller areas. In some situations, location-based information for a geographic area is determined efficiently and accurately to reflect actual travel distances and/or times, such as for use in identifying one or more points of interest that are sufficiently proximate to an indicated location (e. g. , a current location of a user), and/or to determine actual travel distances and/or times between two or more indicated locations of interest. The location-based information determination may in some situations be performed in a realtime or near-realtime manner after a request is received from a user, such as to interactively provide results to the user that include or are based at least in part on the determined location-based information.

Determining Locations Of Interest Based On User Visits

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US Patent:
8135505, Mar 13, 2012
Filed:
Apr 28, 2008
Appl. No.:
12/150565
Inventors:
Darren E. Vengroff - Seattle WA, US
Oliver B. Downs - Redmond WA, US
Assignee:
Groupon, Inc. - Chicago IL
International Classification:
G01C 21/00
US Classification:
701 24, 701201, 701206, 705 734
Abstract:
Techniques are described for determining locations of interest based on user visits. In some situations, the techniques include obtaining information about actual locations of users at various times, and automatically analyzing the information to determine particular locations in a geographic area that are of interest, such as for frequent destinations visited by users. After determining a particular location of interest, it may be represented by generating a corresponding location model to describe the geographic subarea or other location point(s) covered by the determined location of interest, and one or more points of interest (e. g. , businesses, parks, schools, landmarks, etc. ) may be identified that are located at or otherwise correspond to the determined location of interest. In addition, a determined location of interest may be further used in various ways, including to identify later user visits to that location (e. g. , to a point of interest identified for the location).

Facilitating User Interactions Based On Proximity

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US Patent:
8150439, Apr 3, 2012
Filed:
Nov 19, 2010
Appl. No.:
12/950709
Inventors:
Darren E. Vengroff - Seattle WA, US
Jeffrey A. Holden - Seattle WA, US
Assignee:
Groupon, Inc. - Chicago IL
International Classification:
H04B 7/00
H04M 3/42
H04W 4/00
US Classification:
455519, 455518, 455517, 455416, 4554221
Abstract:
Techniques are described for providing location-based information and functionality to people and computing devices in various ways. In at least some situations, the techniques include enabling multiple people in a common geographic area to interact in various ways, such as via devices capable of communications (e. g. , cellular telephones, computing devices with wired and/or wireless communications capabilities, etc. ). In addition, the techniques include enabling the creation and maintenance of location-based virtual groups of users (also referred to as “clouds”), such as for users of mobile and/or fixed-location devices. Such clouds may enable various types of interactions between group members, and may be temporary and/or mobile.

Multi-Strategy Generation Of Product Recommendations

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US Patent:
8244564, Aug 14, 2012
Filed:
Mar 31, 2009
Appl. No.:
12/415896
Inventors:
David Lee Selinger - Castro Valley CA, US
Michael James DeCourcey - Belmont CA, US
Randall Stuart Fish - Castro Valley CA, US
Bradley Ross Cerenzia - Seattle WA, US
Tyler David Kohn - San Francisco CA, US
Darren Erik Vengroff - Seattle WA, US
Assignee:
RichRelevance, Inc. - San Francisco CA
International Classification:
G06Q 40/00
US Classification:
705 711, 705 712
Abstract:
Techniques are described for dynamically generating recommendations for users, such as for products and other items. In at least some situations, the techniques include using multiple recommendation strategies, such as by aggregating recommendation results from multiple different recommendation strategies. Such recommendation strategies may have various forms, and may be based at least in part on data regarding prior interactions of numerous users with numerous items. In addition, information about current selections of a particular user may be gathered based at least in part on providing a GUI (“graphical user interface”) for display to the user that includes selectable information about numerous recommended items, and dynamically updating the displayed GUI with newly generated recommendations of items as the user makes selections of particular displayed recommended items (e. g. , newly generated recommendations that are similar to the selected items in one or more manners, or are otherwise related to the selected items).

Pay-For-Visit Advertising Based On Visits To Physical Locations

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US Patent:
8311845, Nov 13, 2012
Filed:
Apr 13, 2006
Appl. No.:
11/404102
Inventors:
Darren E. Vengroff - Seattle WA, US
Jeffrey A. Holden - Seattle WA, US
Assignee:
Groupon, Inc. - Chicago IL
International Classification:
G06Q 30/00
US Classification:
705 11, 705 144, 705 1447, 705 1472, 705 67, 705 44
Abstract:
A method and system for providing a pay-for-visit billing model for advertisements is provided. The advertisement system provides advertisements that have associated physical visit locations. The advertisement system provides advertisements to a mobile device or fixed of a user when the user is in the vicinity of or examining locations in the vicinity of the visit location. If the user subsequently visits the visit location of the advertisement by physically going to the location, the advertisement system then bills the advertiser for the advertisement. The advertisement system bills the advertiser under the assumption that but for the advertisement, the user would not have visited the visit location.

Proximity-Based User Interaction

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US Patent:
20070237096, Oct 11, 2007
Filed:
Apr 6, 2007
Appl. No.:
11/697617
Inventors:
Darren Vengroff - Seattle WA, US
Jeffrey Holden - Seattle WA, US
International Classification:
H04L 12/28
US Classification:
370254000
Abstract:
Techniques are described for providing location-based information and functionality to people and computing devices in various ways. In at least some situations, the techniques include enabling multiple people in a common geographic area to interact in various ways, such as via devices capable of communications (e.g., cellular telephones, computing devices with wired and/or wireless communications capabilities, etc.). In addition, the techniques include enabling the creation and maintenance of location-based virtual groups of users (also referred to as “clouds”), such as for users of mobile and/or fixed-location devices. Such clouds may enable various types of interactions between group members, and may be temporary and/or mobile.

Managing Aggregation And Sending Of Communications

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US Patent:
20080177872, Jul 24, 2008
Filed:
Nov 9, 2007
Appl. No.:
11/938211
Inventors:
Darren E. Vengroff - Seattle WA, US
International Classification:
G06F 15/16
US Classification:
709223
Abstract:
Techniques are described for managing communications between client applications and remote recipients, such as remote Web services or other network services. In at least some situations, the techniques include providing client communication management systems on each of multiple client computing devices to manage communications being sent from and/or to one or more client applications executing on the client computing device, and/or providing server communication management systems on each of multiple server computing systems to manage communications being sent from and/or to one or more network services provided by the server computing system. A communication management system on a computing device or system may aggregate communications being sent to one or more remote recipients from one or more local applications or services, and then send a group of multiple aggregated communications together to the remote recipient when the communication management system determines that one or more predefined criteria are satisfied.

Determining Locations Of Interest Based On User Visits

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US Patent:
20120310736, Dec 6, 2012
Filed:
Feb 1, 2012
Appl. No.:
13/385103
Inventors:
Darren E. Vengroff - Seattle WA, US
Oliver B. Downs - Redmond WA, US
Assignee:
Groupon, Inc. - Chicago IL
International Classification:
G06F 17/00
G06Q 30/02
US Classification:
705 1453, 701300
Abstract:
Techniques are described for determining locations of interest based on user visits. In some situations, the techniques include obtaining information about actual locations of users at various times, and automatically analyzing the information to determine particular locations in a geographic area that are of interest, such as for frequent destinations visited by users. After determining a particular location of interest, it may be represented by generating a corresponding location model to describe the geographic subarea or other location point(s) covered by the determined location of interest, and one or more points of interest (e.g., businesses, parks, schools, landmarks, etc.) may be identified that are located at or otherwise correspond to the determined location of interest. In addition, a determined location of interest may be further used in various ways, including to identify later user visits to that location (e.g., to a point of interest identified for the location).
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Darren E Vengroff from South Orange, NJ, age ~57 Get Report