Publications
The publication record extends from numerical methods to causal network inference, biological modeling, and clinical analysis. Manuscripts that are not yet public are labeled explicitly.
Works in progress
These manuscripts are in preparation and are not yet publicly available.
Statistical lead for an 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 integration of biomedical measurements.
Lead-author modeling study connecting 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 structure learning using constraint- and score-based methods, Bayesian model averaging, multiple-testing-aware conditional-independence analysis, and bootstrap assessment of edge stability.
D. J. Klinke II, A. Fernandez, W. Deng, A. Razazan, H. Latifizadeh, A. C. Pirkey
Nature Communications, 13(1): 1986. Co-author; contributed to method development and computational analysis of local tumor and immune-cell network organization.
Methodological foundations
My earlier work on nonlinear dynamical systems developed the experience in solver design, basis representations, stability analysis, and convergence that now informs my scientific machine-learning research.
Seventeen additional peer-reviewed articles in computational mathematics and nonlinear dynamical-systems modeling are included in the full CV and Google Scholar profile.