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    Alan Li

    Research Engineer

    Alex Li is a Machine Learning Engineer at Meta (formerly Facebook) with extensive experience in artificial intelligence and software engineering. Here are some key details about his background and career:

    Education

    Alex Li holds a Ph.D. in Machine Learning from Carnegie Mellon University, where he was a research assistant in the Machine Learning Department from August 2020 to present.2 Prior to his doctoral studies, he completed both a Bachelor's and Master's degree in Electrical Engineering and Computer Science at the University of California, Berkeley between 2016 and 2020.2

    Professional Experience

    Meta

    Alex currently works as a Research Scientist Intern at Meta AI Research, a position he has held from June 2023 to January 2024.2 In this role, he focuses on representation learning and Transformers, collaborating with researchers like Xinlei Chen.1

    Other Research Positions

    • Visiting Researcher at Stanford Artificial Intelligence Laboratory (June - August 2022)2
    • Research Assistant at Berkeley Artificial Intelligence Research Lab (January 2018 - May 2020)2

    Research Focus

    Alex's research interests include:

    • Learning from Internet-scale data
    • Generative models
    • Deep learning generalization
    • Representation learning
    • Computer vision algorithms

    Publications

    Alex has authored several papers in top AI conferences, including:

    • "Your Diffusion Model is Secretly a Zero-Shot Classifier" (ICCV 2023)1
    • "Internet Explorer: Targeted Representation Learning on the Open Web" (ICML 2023)1
    • "Understanding Collapse in Non-Contrastive Siamese Representation Learning" (ECCV 2022)1

    Awards and Honors

    Throughout his academic career, Alex has received numerous awards, including:

    • Two Sigma PhD Fellowship Runner-Up (2023)1
    • National Science Foundation Graduate Research Fellowship (2020)12
    • Mark D. Weiser Excellence in Computing Scholarship (2019)12

    Skills

    Alex is proficient in various programming languages and frameworks, with a particular focus on machine learning tools like PyTorch.1

    Related Questions

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    Location

    Stanford, California, United States