MA Qi

MA Qi

Incoming M.A. Student in Computational Linguistics, Heidelberg University.

Zhejiang University campus

I am MA Qi (马琦), an incoming M.A. student in Computational Linguistics at Heidelberg University, starting in the winter semester 2026/27.

I currently work as a research assistant at the Cognomics Lab, Zhejiang University, led by Xiang-Zhen Kong (孔祥祯). My work sits at the intersection of computational neuroscience, structural neuroimaging, brain hemispheric lateralization, and generative modeling.

I build reproducible research workflows and software for neuroimaging analysis, with an emphasis on interpretable validation, careful statistical testing, and tools that other researchers can install and reuse.

News

  • Sep 2026: Admitted to the M.A. in Computational Linguistics at Heidelberg University for the winter semester 2026/27.
  • 2026: Developing HemiSpec and related cortical/subcortical visualization workflows for reproducible neuroimaging research.
  • Jul 2025: Joined the Cognomics Lab at Zhejiang University as a research assistant.
  • Jul 2025: Completed a Bachelor of Science in Psychology at Zhejiang University.

Research

Cross-Hemisphere Reconstruction-Derived Neuroanatomical Specificity in Schizophrenia

Multicenter structural MRI analysis of 948 participants across five sites using ANS and RNS. The study examines multiscale group differences, clinical and cognitive associations, and disease classification; the manuscript is in preparation.

Cross-hemisphere reconstruction and handedness

Research in progress at the Cognomics Lab on whether cross-hemisphere reconstruction residuals capture distributed structural information related to handedness beyond conventional gray-matter asymmetry indices. The accompanying manuscript is in preparation.

Operator-corrector validation of residual measures

An ongoing extension of the cross-hemisphere framework that evaluates operator-corrected residual measures across demographic, behavioral, and disease-related validation settings. This work is in preparation; detailed results will be shared after methodological and manuscript review.

Projects

  • HemiSpec: An installable toolkit for hemispheric-specificity measures, bilateral reconstruction, ROI export, and validation workflows for structural neuroimaging.
  • Cortex Visualization Skill and Subcortex Visualization Skill: Reproducible atlas-based cortical and subcortical visualization workflows.
  • DecodeWM: A working-memory load prediction project using HCP task-fMRI data and machine-learning models.
  • LorewormGu: A from-scratch language-model implementation covering pretraining, supervised fine-tuning, and reasoning-format distillation.

Education

  • Heidelberg University, Master of Arts (M.A.) in Computational Linguistics, Heidelberg, Germany. Incoming, winter semester 2026/27.
  • Zhejiang University, Bachelor of Science in Psychology, Hangzhou, China, Sep 2021–Jul 2025.

Writing

阿瞒的脑洞 (A Man's Brainhole) account avatar

WeChat Official Account

阿瞒的脑洞 (A Man's Brainhole)

A public channel about brain science, computational neuroscience, NeuroAI, research tools, and reproducible workflows.

Selected articles published on the WeChat account 工心应援会 include:

CV

Skills

Python, PyTorch, machine learning, deep learning, structural and task-fMRI analysis, neuroimaging visualization, statistical modeling, reproducible research software, Git/GitHub, and LaTeX.

Languages

TOEFL iBT: 5/6 (100/120).