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Jeffrey Zhang

Postdoctoral Associate in Biomedical Informatics and Data Science
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Postdoctoral Associate in Biomedical Informatics and Data Science

Biography

Jeff is a postdoctoral fellow in the Department of Biomedical Informatics and Data Science supported by a NLM T15 training grant. He currently works in Dr. Hua Xu's lab, where his current research focuses on the use of large language models for biomedical applications. His other interests include mental health, data science, algorithms, and optimization. Previously, he received his PhD in Operations Research and Financial Engineering from Princeton University and was a Visiting Assistant Professor in Mathematical Sciences at Carnegie Mellon University. His previous work focused on studying higher order Newton methods and theoretical aspects of solutions to optimization problems.

Last Updated on August 29, 2024.

Education & Training

PhD
Princeton University, Operations Research and Financial Engineering (2020)
BA
Yale University, Computer Science, Economics & Mathematics (2014)

Research

Research at a Glance

Publications Timeline

A big-picture view of Jeffrey Zhang's research output by year.
5Publications

Publications

2024

  • Higher-order Newton methods with polynomial work per iteration
    Amir Ali Ahmadi, Abraar Chaudhry, Jeffrey Zhang, Higher-order Newton methods with polynomial work per iteration, Advances in Mathematics, Volume 452, 2024, 109808, ISSN 0001-8708, https://doi.org/10.1016/j.aim.2024.109808.
    Peer-Reviewed Original Research

2022

2021

2020

Academic Achievements & Community Involvement

Activities

  • activity

    On Local Minima of Cubic Polynomials

  • activity

    An Unregularized Third Order Newton Method

  • activity

    An Unregularized Third Order Newton Method

  • activity

    On Local Minima in Polynomial Optimization

  • activity

    On Local Minima in Polynomial Optimization

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