Huang Lingxiao
About Huang Lingxiao
Huang Lingxiao is a Postdoctoral Researcher at Yale University, specializing in computational social choice and machine learning. He focuses on developing algorithms that promote fairness and address societal challenges.
Work at Yale University
Huang Lingxiao has been employed as a Postdoctoral Researcher at Yale University since 2019. His research focuses on computational social choice, where he develops algorithms aimed at ensuring fairness. His work contributes to the academic community in New Haven, Connecticut, and aligns with Yale's commitment to addressing complex societal challenges through innovative research.
Education and Expertise
Huang Lingxiao holds a Doctor of Philosophy (PhD) in Computer Science from Tsinghua University, where he studied from 2012 to 2017. He furthered his academic career with postdoctoral studies in Theoretical Computer Science at both EPFL (École polytechnique fédérale de Lausanne) from 2017 to 2019 and Yale University from 2019 to 2020. His educational background equips him with a strong foundation in theoretical frameworks and practical applications in computer science.
Research Interests
Huang Lingxiao's research interests center on computational social choice and the development of algorithms that promote fairness. He is particularly passionate about constructing efficient data summaries in machine learning. His work often addresses societal challenges, leading to the creation of novel algorithms that respond to these issues.
Background
Huang Lingxiao began his academic journey at Tsinghua University, where he completed his undergraduate studies before pursuing a PhD. His educational path continued with postdoctoral research at EPFL and Yale University, reflecting a commitment to advancing his expertise in theoretical computer science. His diverse academic experiences have shaped his research focus and methodologies.