Alex Wozniakowski

Currently, I am a software engineer at Apple; and I have interests in applied and computational mathematics, machine learning, and statisics research and applications.

Previously, I obtained my Ph.D. in mathematics from Nanyang Technological University (NTU) in 2022. In my dissertation, I developed a reformulation of additive models and their fitting algorithms, which fused the methods of reroughing, stacking, and additive models in the context of multi-target regression.

  • Notably, this formulated the non-constant initialization of gradient boosting, which tied the pragmatic tweak of an offset to well-established methods in data analysis, machine learning, and statistics.
  • In the case that the offset were predictions from Google’s quantum device calibration model, then the formulation enhanced those predictions and decreased test error in a numerical experiment.

Additionally, I am an original member of the Mathematical Picture Language Project at Harvard University, where I established the link between the mathematics of planar algebras and the science of quantum information and computation.

  • This led to a collaboration in which multiple charged string picture languages were developed.

Latest posts

Selected publications

  1. A reformulation of additive models
    Alex Wozniakowski
    Nanyang Technological University , 2022
  2. A new formulation of gradient boosting
    Alex Wozniakowski ,  Jayne Thompson ,  Mile Gu , and 1 more author
    Machine Learning: Science and Technology, 2021
  3. Holographic software for quantum networks
    Arthur Jaffe ,  Zhengwei Liu ,  and  Alex Wozniakowski
    Science China Mathematics, 2018
  4. Quon 3D language for quantum information
    Zhengwei Liu ,  Alex Wozniakowski ,  and  Arthur Jaffe
    Proceedings of the National Academy of Sciences, 2017