Sign In
Get Clay Free →

Suggestions

    Peng Liao

    Data Scientist at Tencent, PhD

    Peng LIAO is a Data Scientist at Tencent with a background in statistics and revenue management.3 He holds a PhD from The Hong Kong Polytechnic University, where he focused on revenue management problems.3 Prior to joining Tencent, Peng was a Quantitative Researcher at DRW and a postdoctoral research fellow in the Department of Statistics at Harvard University under the supervision of Prof. Susan Murphy.1 He received his Doctoral degree in Statistics from the University of Michigan and a Bachelor's degree in Statistics from Sun Yat-Sen University (Zhongshan University).1

    Peng's research interests include sequential decision-making problems with applications in mobile health, developing new experimental designs for mobile health, and online Reinforcement Learning algorithms.1 He has published several papers in prestigious journals and conferences, focusing on topics such as micro-randomized trials, causal inference, and policy evaluation in mobile health settings.1

    In 2018, Peng gave a talk at AICamp where he shared his experience transitioning from academia to the tech industry, specifically from neuroscience to AI.2 His professional email addresses are ressonliao@gmail.com and liaopeng@tencent.com.4

    Highlights

    ‪Ben Liao‬ - ‪Google Scholar‬

    Related Questions

    What are some of Peng Liao's most notable research contributions?
    How does Peng Liao's work at DRW differ from his work at Harvard?
    What are the main applications of Peng Liao's sequential decision-making research?
    Can you provide more details about Peng Liao's work on micro-randomized trials?
    What is the significance of Peng Liao's reinforcement learning algorithms in mobile health?
    Peng Liao
    Peng Liao, photo 1
    Peng Liao, photo 2
    Get intro to Peng
    Add to my network

    Location

    Shenzhen, Guangdong, China