Nyx Dynamics — Research Portfolio

Computational Research
at the Intersection of
Medicine & Algorithms

Peer-reviewed work spanning HIV prevention implementation science, algorithmic equity, mathematical modeling of infection dynamics, and neurometabolic signal processing. All code open-source. All data archived.

3
Published / In Press
2
Under Review
1
In Preparation
21.2M
Patients Validated

Projects

Each project includes a dedicated page with slide deck, mind map, and infographic.

Published In Press Viruses 2026 — Two Companion Papers

LAI-PrEP Bridge Period: Clinical Decision Support Tool

Long-acting injectable PrEP demonstrates >96% HIV prevention efficacy, yet 47.1% of prescribed patients never receive their first injection. This project defines the 2–8 week “bridge period” as the critical implementation bottleneck, proposes a reconceptualized PrEP cascade, synthesizes a 21-intervention evidence library across 7 population categories, and delivers a computationally validated clinical decision support tool — validated across 21.2 million synthetic patients at UNAIDS global PrEP target scale with ±0.018 pp precision.

HIV Prevention Implementation Science Clinical Decision Support Monte Carlo Validation Health Equity LAI-PrEP
21.2M
patients validated
47.1%
bridge period attrition
100K
infections preventable annually
Under Review Preprint PLOS Digital Health

Synergistic Algorithmic Recourse & Structural Discrimination in Healthcare AI

A mathematical and computational framework for identifying and quantifying synergistic algorithmic discrimination — where individual algorithmic features are equitable in isolation but combine multiplicatively to produce discriminatory outcomes. Proposes a recourse framework for correcting compounding bias in clinical decision support systems, with direct application to PrEP eligibility, risk stratification, and treatment recommendation algorithms.

Algorithmic Bias Health Equity Clinical AI Recourse Framework Structural Discrimination
PLOS
Digital Health — under review
Under Review bioRxiv PNAS — Tracking #2026-07722

Noise Correlation Length Distinguishes Neurometabolic Protection from Vulnerability Across HIV Infection Phases

A signal processing framework demonstrating that noise correlation length — a measure of spatial autocorrelation in metabolic fluctuation patterns — reliably distinguishes neuroprotective from neurovulnerable states across phases of HIV infection. Provides a computationally tractable biomarker framework for neurometabolic monitoring in people living with HIV, with implications for early detection of HIV-associated neurocognitive disorders.

Signal Processing Neurometabolic HIV Neurology Biomarker HAND
PNAS
under review — submitted March 2026
Under Review BMC Public Health

Structural Barriers, Stochastic Avoidance, and Outbreak Risk in HIV Prevention for People Who Inject Drugs

A population-specific analysis of the structural, legal, and healthcare system barriers preventing people who inject drugs (PWID) from initiating long-acting injectable PrEP. PWID represent the highest-risk and lowest-coverage population in HIV prevention, with only 2% currently using PrEP despite indicated need. This work quantifies the compounding effect of criminalization, housing instability, stigma, and healthcare avoidance on bridge period completion, and evaluates syringe service program integration as the primary delivery pathway.

PWID LAI-PrEP Structural Barriers Harm Reduction Health Equity
2%
PWID currently using PrEP despite need
+265%
improvement with targeted interventions
In Preparation Preprint Target: Science

The Prevention Theorem: Time-Dependent Constraints on Post-Exposure Prophylaxis for HIV

A formal mathematical framework establishing that HIV post-exposure prophylaxis efficacy is governed by a finite, quantifiable prevention window determined by viral replication kinetics and the irreversibility of systemic infection establishment. Derives closed-form theorems for optimal PrEP timing under stochastic exposure conditions, with direct implications for same-day PrEP initiation protocols, bridge period design, and the pharmacokinetic rationale for conservative LAI-PrEP initiation requirements.

Mathematical Modeling HIV PEP/PrEP Infection Dynamics Viral Kinetics Prevention Science
Science
target journal — in preparation

Principles & Access

All research code is open-source. All datasets are publicly archived. All tools are free for healthcare providers and researchers.

Code — GitHub

All computational tools and analysis code available at github.com/Nyx-Dynamics. GPG-signed commits. Pharma-Restricted Open Healthcare License.

Data — Zenodo

Datasets and validation results archived at Zenodo DOI: 10.5281/zenodo.17873201 with permanent DOI assignment.

Conflict of Interest

Dr. Demidont was formerly employed by Gilead Sciences (ending October 2024); all holdings divested December 2024. No industry funding. Disclosed per ICMJE guidelines in all publications.

AI Disclosure

Manuscripts developed with assistance from Anthropic Claude and other AI tools per ICMJE-compliant disclosure. Author maintains full responsibility for all scientific content and conclusions.