Xiao di wu biography

  • Biography.
  • BIO. Archaeobotanical PhD/MPhil Student, working on archaeobotanical research in Southeast Asia.
  • Biography: Xiaodi Wu is an associate professor of computer science with an appointment in the University of Maryland Institute for Advanced Computer Studies.

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    Biography

    Xiao Wu

    Assistant Professor of Biostatistics

    Columbia University

    Xiao Wu is an Assistant Professor of Biostatistics at Columbia University, and a member of Columbia Data Science Institute. His research focuses on developing statistical and causal inference methods to address methodological needs in climate and health research. The key milestone of his research is to provide scientific evidence and policy solutions to mitigate the adverse impacts of environmental factors in a rapidly changing climate. Contact here if you want to harness the power of uppgifter science to build a healthier, more sustainable world!

    He completed his Ph.D. in Biostatistics at Harvard University, where he was advised by Dr. Francesca Dominici and Dr. Danielle Braun. His dissertation focuses on developing causal inference methods to handle error-prone, continuous, and time-series exposures. He was a Data Science Postdoctoral Fellow at Stanford University, where he worked with Dr. Trevor Hast

  • xiao di wu biography

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    Xiao Wu

    Biography

    Xiao Wu（吴潇） is currently pursuing the Ph.D. degree in mathematics (supervised by Prof. Ting-Zhu Huang and Prof. Liang-Jian Deng) with the School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, China. Now, I also have the privilege of working remotely with Prof. Xue-Cheng Tai. I welcome any kind of collaboration. Let’s do it just for fun!

    I’m seeking research internship opportunities or positions as a Ph.D. visiting student beginning September 2024. Please reach out if you have any openings that I might be a fit for.


    Email：wxwsx1997@gmail.comGithub：https://github.com/XiaoXiao-Woo
    Google Scholar：Xiao WuWeChat: elseting

    Download my resumé.

    Research Interest

    Deep Learning and Mathematics

    • Machine Learning (Deep Learning) and Optimization
      • Deep Plug-and-Play, deep unfolding, deep equilibrium model, and self-supervised learning
      • Neural operator (e.g., implicit neural representation, physics-i

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        Associate Professor

        Education:
        • Ph.D., University of Michigan, Ann Arbor, 2013
        Appointments:

        CS, UMIACS, ECE

        Interest Areas:

        Quantum computation

        Biography

        I am an Associate Professor in the Department of computer science and a Fellow of the Joint Center for Quantum Information and Computer Science (QuICS) at the University of Maryland, College Park. I am also an Amazon Visiting Academic. My research aims to bridge the gap between the theoretical foundation of quantum computing and the limitation of realistic quantum machines. More specifically, inom am working on the foundations of practical quantum applications on realistic quantum machines by investigating computational models that capture the native programmability of quantum devices.  I am also building efficient and reliable systems to operate both near-term and long-term quantum devices. Before coming to Maryland, inom was an Assistant Professor in the Computer and Information Science Department at the Un