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Jinsong Tan

from Nashua, NH
Age ~45
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Also known as:
Jinsong Pan
Related to:
Jiawen Pan, 35Utd PanAlexander W Pan, 44Susan S Pan, 77Dawning A Pan, 79Christina W Pan, 47
Connected to:
Aaron B Tan, 48Amie Tan, 46Andreas S Tan, 62Angela S Tan, 51Antoine Tan, 34Arielle S Tan, 33Arjun Tan, 81Arlyn Tan, 49Armando T Tan, 70Artemus C Tan, 55

Jinsong Tan Phones & Addresses

  • Nashua, NH
  • Lexington, MA
  • Fremont, CA
  • Lubbock, TX
  • Bethlehem, PA
  • San Francisco, CA
  • San Mateo, CA
  • Chicago, IL
  • Jersey City, NJ

Work

Company: Citadel investment group May 2012 Address: Greater Chicago Area Position: Energy risk analyst

Education

Degree: Ph.D. School / High School: University of Pennsylvania 2005 to 2010

Skills

Algorithms • Python • R • Machine Learning • C++ • Data Mining • Computer Science • Java • Artificial Intelligence • Quantitative Analytics • Matlab • Distributed Systems • Research • Commodity Markets • Quantitative Finance • Statistical Modeling • Statistics • C

Languages

English • Mandarin

Industries

Computer Software

Resumes

Resumes

Jinsong Tan Photo 1

Founder At Custofy.ai

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Location:
27 Woodpark Cir, Lexington, MA 02421
Industry:
Computer Software
Work:
Citadel Investment Group - Greater Chicago Area since May 2012
Energy Risk Analyst
Goldman Sachs - Greater New York City Area Aug 2010 - Apr 2012
Associate, Core Strategies
University of Pennsylvania - Greater Philadelphia Area Sep 2005 - Aug 2010
Graduate Student
Microsoft Research Jun 2009 - Sep 2009
Research Intern
Google May 2007 - Aug 2007
Intern
Education:
University of Pennsylvania 2005 - 2010
Ph.D. National University of Singapore 2002 - 2003
Master of Science, Computer Science National University of Singapore 1998 - 2002
Bachelor of Computing (Hon), Computer Science
Skills:
Algorithms
Python
R
Machine Learning
C++
Data Mining
Computer Science
Java
Artificial Intelligence
Quantitative Analytics
Matlab
Distributed Systems
Research
Commodity Markets
Quantitative Finance
Statistical Modeling
Statistics
C
Languages:
English
Mandarin

Publications

Us Patents

Auction Format Selection Using Historical Data

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US Patent:
20110184802, Jul 28, 2011
Filed:
Jan 25, 2010
Appl. No.:
12/692659
Inventors:
Samuel Ieong - Mountain View CA, US
Jinsong Tan - Bethlehem PA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06Q 30/00
G06Q 10/00
G06N 5/02
US Classification:
705 1445, 705 1446, 705 1471, 706 52, 705 263
Abstract:
An auction format may be selected pursuant to analyzing and identifying certain statistical patterns in historical data. For example, the choice of auction format may be based on whether bids and quality exhibit correlation, which can be identified in the historical data. By identifying the statistical patterns in the data, one can choose an auction format that can achieve generation of higher revenue. Such techniques allow an auctioneer, such as a search engine, to generate higher revenue than using a fixed auction format. For example, in the context of sponsored search auction, if the value of a click and the probability of a click are positively correlated, the auctioneer generates higher revenue by ranking the advertisers by bids rather than by bids multiplied by quality.

Detecting Types Of Travel Corridors On Which Personal Mobility Vehicles Travel

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US Patent:
20200124430, Apr 23, 2020
Filed:
Oct 21, 2019
Appl. No.:
16/659448
Inventors:
- San Francisco CA, US
Punit Nitin Shah - San Francisco CA, US
Jinsong Tan - Fremont CA, US
Emad El-Haraty - Emeryville CA, US
Li Jiang - Cupertino CA, US
International Classification:
G01C 21/34
G01C 21/36
G06Q 30/02
B62K 11/00
B62K 15/00
B62J 99/00
Abstract:
The disclosed embodiments relate to detecting sidewalk riding by a personal mobility vehicle (e.g., an electric scooter). For example, a method includes collecting sensor data (e.g., vibration data of an accelerometer) generated by the scooter while traveling on a surface of a travel pathway. The method further includes identifying a surface type by processing the collected sensor data with a computer model that can distinguish among different surface types, and determining that the travel pathway is unsuitable (e.g., a sidewalk) for the scooter based at least in part on the identified surface type (e.g., a pattern of concrete sections). In response to determining that the travel pathway is a sidewalk, causing the personal mobility vehicle to assist the user in navigating the personal mobility vehicle, alter a mobility operation of the personal mobility vehicle, or notify a surrounding area of a presence of the personal mobility vehicle.
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Jinsong Tan from Nashua, NH, age ~45 Get Report