• About ME

    Welcome to my website!

    My name is Tu Ni, and I was born in Hangzhou, China, 1994.


    I graduated at Hangzhou No.2 High School and after that, I spent my undergraduate life at Zhejiang University with a major of Mathematics. I hold a Master of Engineering degree at University of California, Berkeley with a concentration on Industrial Engineering & Operations Research. Moreover, I have worked in SF Express as a machine learning & operations research engineer for one year.


    I am a Ph.D. candidate in Operations Research & Analytics at National University of Singapore Business School. I'd like to develop mathematical models and algorithms in smart city operations including logistics and supply chain. I am also interested in general artificial intelligence topics including machine learning/deep learning/reinforcement learning, natural language processing etc.

  • Education

    National University of Singapore

    2018 - 2022

    Ph.D. in Operations Research

    University of California, Berkeley

    2016 - 2017

    M.S. in Industrial Engineering & Operations Research

    Zhejiang University

    2012 - 2016

    B.S. in Mathematics & Applied Mathematics

    • Research Advisor: Prof. Jianxin Zhu
    • Modeling Advisor: Prof. Zhiyi Tan
  • Experiences

    S.F. Technology

    Aug 2017 - July 2018

    Machine Learning & Operations Research Engineer

  • Projects

    A selection of editorials I've worked on (I'm working on)

    Efficient Service Network Design

    Design efficient business and mathematical models for the intra-city the-same-day delivery system, with methodology including integer programming, dynamic programming, heuristic algorithms, and reinforcement learning.

    UAV Online Orienting Optimization

    Develop online convex optimization technique for UAV to detect crack of the building dynamically, providing both theoretical contributions and experimental results.

    Neural Code Completion

    Design a WaveNet model to achieve automatic code completion with Tensorflow.
    Implement with 150,000 JavaScript programs as training and testing dataset.
    Scale and improve the algorithm for better performance in comparison with RNN (LSTM).

    Machine Learning for Patent Litigation

    Apply nature language processing method(Doc2Vec) to figure out similar patents in the USPTO database, based on patent description documents.

  • Personal interests

    Things I've picked up over the years


    I am a crazy sports fan with diverse interests including basketball, soccer, football, badminton, tennis, swimming, ping pong etc. My favorite sports team is FC Bayern Munchen.


    • I was a member of the primary school basketball team as PG.
    • I was the captain of the high school soccer team as GK.
    • I was the coach of my soccer team in university.


    • Asia
      • Korea, Japan, Singapore, UAE, Indonesia
    • North America
      • USA, Canada 
    • Europe
      • Germany, Netherland, France, Belgium, UK, Monaco


    I learned calligraphy when I was 8 and last for 10 years, during which I won lots of national prizes.

  • Connections to my friends

    Please explore their websites!

    Jun Lu

    Former Head of Business Analytics and Strategies, SF Express

    Ph.D. in Applied Mathematics at Gatech


    Wuhua(Wallace) Hu

    The Head of Optimization at Department of Artificial Intelligence, SF Express

    Ph.D. in Communication Engineering at Nanyang Technology University


    Quanlai Li

    Software Engineer, Uber

    M.S. in Computer Science at UC Berkeley


    Han Qi

    Software Engineer, Google

    M.S. in Computer Science at UC Berkeley


    Sijia(Scarlett) Teng

    Software Engineer, Google

    M.S. in Electrical Engineering at UC Berkeley


  • Contact me

    Welcome for communication and cooperation!

    Email: nitu[at]u.nus.edu

    Phone: +65 8485 7278

    Address: Institute of Operations Research & Analytics, Innovation 4.0, National University of Singapore