Publications
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Birds of a Feather: A Multidisciplinary Review of Neural, Evolutionary, and Psychological Mechanisms Underlying Similarity-Based Interpersonal Attraction
People tend to befriend and marry people who resemble them. The finding is old and well replicated, but its explanations are scattered: social psychology, cognitive neuroscience, behavioral genetics and computational social…
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The unsupervised deployment gap in generative AI for mental health
Evidence about artificial intelligence in mental health and the deployment of artificial intelligence in mental health concern two different objects, and the first is routinely cited to justify the second. The evidence base is…
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Neuroinflammatory Mechanisms of Depression and the Collapse of the Monoamine Hypothesis
For over four decades, the monoamine hypothesis — and its serotonin-centric variant in particular — served as the dominant explanatory framework for major depressive disorder. The 2022 umbrella review by Moncrieff et al…
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Self-Destructive Drive as a Mechanism of Agonistic Flow in Extreme Human Performance
This paper proposes agonistic flow as a distinct cognitive state accessed through sustained voluntary confrontation with physiological limits, integrating Csikszentmihalyi's flow theory, Dietrich's transient hypofrontality…
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Verifiable Rewards in Language Model Training: A Taxonomy of Verifiability, GRPO Limitations, and Paths to Soft Verification
We propose a five-level taxonomy of verifiability for NLP tasks ranging from exact match to subjective judgment. For each level we characterize the verifier type, its cost, and noise in the reward signal. We analyze GRPO…
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The Inverted-U Under Scrutiny: A Meta-Analytic Test of the Yerkes–Dodson Law Across Cognitive Domains
The Yerkes–Dodson law — the claim that performance relates to arousal as an inverted U — is among the most cited principles in psychology. We test the claim by conducting an umbrella review of 36 meta-analyses and systematic…
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Semantic Segmentation of Aerial Imagery on a Consumer GPU with a From-Scratch Residual U-Net
We present swath, an open-source pipeline for semantic segmentation of aerial and satellite imagery that covers the full workflow from raw data to georeferenced predictions. The system trains a residual U-Net from random…
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Spatial Target Leakage in Location Intelligence: Quantifying Cross-Validation Bias from Spatial Autocorrelation
Location intelligence models predict site-level outcomes using spatially derived features. Standard random cross-validation systematically overestimates their performance because nearby observations share spatially autocorrelated…
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stadion: A Benchmark for Operational Decisions with Classical Baselines and Exact Optima
Most benchmarks used to evaluate autonomous agents share a structural limitation: nobody knows what the right answer was. A score of 61% on a browsing benchmark or an agent-versus-agent leaderboard says that one agent beat other…
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A Systematic Review of Short-Form Video Effects on Attention, Memory, and Emotional Regulation
This review synthesizes evidence from 47 empirical studies (2019–2026) on the effects of short-form video consumption on sustained attention, working memory, deep processing, and affective regulation. We identify four mechanisms…
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Computing Nearest-Amenity Walking Distance for Every Node in a Street Network in a Single Shortest-Path Pass
Urban accessibility analysis requires computing the shortest walking distance from every address to the nearest instance of an amenity class. The naive approach runs one shortest-path computation per amenity location at cost O(k…
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mlango: A Django-Inspired Framework for Machine Learning Lifecycle Management
We present mlango, an open-source Python framework that applies Django's design philosophy — convention over configuration, batteries included, don't repeat yourself — to the machine learning lifecycle. The framework introduces…
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decisionrl: A Reinforcement Learning Library for Operational Decisions with Classical Baselines
We present decisionrl, an open-source Python library that provides (i) nine applied environments modeling canonical operational decisions (inventory management, dynamic pricing, energy arbitrage, queueing control, supply chain…
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dokimos: Practical Mutation Testing for Python via Per-Test Coverage Selection, Diff Scoping, and Verdict Caching
Line coverage certifies that a line executed; it says nothing about whether any test would notice if the line were wrong. Mutation testing answers the second question directly by modifying the program under test and asking…