How Mobike Data Help Improve the Operation and City Planning

How Mobike Data Help Improve the Operation and City Planning
Date & Time: 
Monday, October 23, 2017 - 17:00 to 18:30
Dafei Yin, Data Scientist, Mobike
Room 101, NYU Shanghai | 1555 Century Avenue, Pudong New Area, Shanghai


Speaker's bio: Dafei Yin is Data Scientist in Mobike. He built the Data Team from scratch in Mobike which currently include Artificial Intelligence, Business Intelligence, Visual intelligence, Data as Service and Data Infrastructure groups. The goal of the team is to make the company data driven and move fast. Before joining Mobike, he worked as Product Engineer at Esri and Senior Data Engineer in Dhgate. Dafei got his Ph.D. in Peking University and work as Postdoctoral Research Associate in Tsinghua University afterwards.

Talk abstract: In this talk, Dafei will discuss 1) how to apply machine learning algorithms to improve the daily bike operation, 2) how to determine where to put the bikes, and 3) how to relocate the bikes efficiently and predict the optimal location to set up bike parking position. Dafei will also discuss how these data be used in city planning and transform the traditional concept in urban development.

Professor Keith Ross, Dean of Engineering and Computer Science, will introduce Dr. Dafei Yin. This event is sponsored by NYU Shanghai Center for Data Science and Analytics. 

Click Here to RVSP


Schedule of Fall 2017 Seminar Series on Data Science and AI:

Oct 23, 5-6:30pm, Room 101, Dafei Yin (Data Scientist, Mobike), How Mobike Data Help Improve the Operation and City Planning

Nov 1, 5-6:30pm, Room 101, Guido Gerig (Professor of CS, NYU), Medical Image Analysis: Extracting Information from Image Data

Nov 7, 5-6:30pm, Room 102, Michael Wu (Chief Scientist, Lithium), AI is the New BI: How to Get Your Enterprise Ready for the AI Revolution

Nov 28, 5:6:30pm, Room 1504, Kai Yu (Hotizon Robotics), TBD

Dec 4, 5-6:30pm, Room 1504, Lan Liu (Didi), Explore The Path for Sharing

Dec 11, 5-6:30pm, Room 101, Wilson Tam (Tenccent), Development of Chatbot Technologies and Challenges

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Location & Details: 

To our visitors

  • RSVP may be required for this event.  Please check event details
  • Visitors will need to present a photo ID at the entrance
  • There is no public parking on campus
  • Entrance only through the South Lobby (1555 Century Avenue) 
  • Taxi card


Metro: Century Avenue Station, Metro Lines 2/4/6/9 Exit 6 in location B

Bus: Century Avenue at Pudian Road, Bus Lines 169/987