Publications
The work moves from numerical methods to causal network inference, biological modeling, and clinical analysis. Manuscripts that are not yet public are labeled clearly.
Works in progress
These projects are in preparation and are not yet publicly available.
Statistical lead for analysis of an SEEG-derived focality score across resection, LITT, and neuromodulation cohorts, including diagnostic performance, calibration, failure analysis, and sensitivity checks.
Lead-author methods study of cross-species flow-cytometry alignment, out-of-sample inference, and reproducible biomedical data integration.
Lead-author modeling study that connects mechanistic simulation with scientific machine learning to examine maternal immunity, vaccine efficacy, and congenital CMV transmission.
Peer-reviewed work & preprints
H. Latifizadeh, A. C. Pirkey, A. Gould, D. J. Klinke II
First author. Ensemble causal discovery with constraint- and score-based structure learning, Bayesian model averaging, multiple-testing-aware conditional-independence analysis, and bootstrap edge stability.
D. J. Klinke II, A. Fernandez, W. Deng, A. Razazan, H. Latifizadeh, A. C. Pirkey
Nature Communications, 13(1): 1986. Co-author; method development and computational analysis of local tumor and immune-cell network organization.
Methodological foundations
My earlier work on nonlinear dynamical systems developed the solver design, basis representations, stability analysis, and convergence reasoning that now inform my scientific machine-learning work.
Seventeen additional peer-reviewed articles in computational mathematics and nonlinear dynamical-systems modeling are included in the full CV and Google Scholar profile.