I work to eliminate needless ambiguity, risk, and suffering in decisions that rest on data. I build mathematical frameworks and turn uncertain signals into inspectable, cross-validated systems across clinical trial design and analysis, causal and network inference, model and AI evaluation, and decision support built on public and sensor data. I look for agreement across independent lines of evidence, and for the shared structure that connects fields that seem unrelated, so a method proven in one setting can be tested honestly in another.

7 years of clinical biostatistics in contract research (early-phase clinical pharmacology, CDISC/ADaM, PK/NCA) and 12 years in research. Remote US.

Contact: patrickiben@gmail.com · LinkedIn · ORCID 0009-0005-2443-7973

Resume (2-page PDF) · Full CV (4-page PDF) · Word versions

Research engineering and systems architecture: translating methods across domains, integrating data and models, and building tools whose assumptions and evidence can be inspected.

• Coastal Water Resilience (source): Connects my CRT framework and network-contagion research to infrastructure planning. Real public station records, terrain, evacuation zones, Census context, and NOAA/NWS observations and forecasts support projected-impact screens and ten-parameter response plans. Actions explain why each parameter matters at that phase, with timing and escalation steps. Unsupported dimensions stay explicit; the synthetic exercise is separately labeled.

• Public Data Consoles (source): 36 browser dashboards spanning hazards, public health, access to care, and markets, including NHS Scotland Strain, U.S. Grid Strain, River Flood Propagation, Community Resilience, and three place finders: Food Desert Oases, Free Clinic Finder, and Free Public Bathroom Finder. Visitors need no API key. Public feeds and scheduled data publication support dated, source-aware displays; all 36 include ten-parameter response plans with priorities, escalation, and plain-language explanations for public users and professional operators.

• Autonomic Telemetry (source): Wearable sensing from Bluetooth devices through an in-memory Mac bridge to a mobile browser. Work/Rest views combine a personal reference with explicit signal quality, freshness, and source coverage. The Signal Lab adds replayable numerical views with analytic and regression checks. Live wearable input runs through the local bridge.

• Resilience Telemetry (research guide): An application of my directed-contagion research to cross-asset volatility networks: spillover analysis, transmitter stability, historical replay, and held-out comparisons against loudness and persistence baselines. Public-data ingestion and the documented method correspondence make the adaptation inspectable.

• myco-fusion (source): How far a phone camera can go toward a reflectance spectrum: a local research workbench and a reproducible simulation study on measured spectra. On 532 natural-object samples, a simulated camera met both draft targets for 83% when calibrated on similar objects and 60% with a color chart; measured curves from six iPhones gave similar results. No phone photo or wild fungus was tested, and it is not for judging whether anything is safe to eat.

Clinical trial tools: worked examples, templates, apps and checks for biostatistics consultants and employees, from sample size to CSR text.

• Trial biostatistics toolkit (source): open-source tools, templates and worked examples across study planning, programming, operations and reporting, focused on early-phase clinical pharmacology. Each page states what was executed (runs, parse-checked, not executed); example data are synthetic, and nothing is validated or regulatory.

  • Flagship worked example: one synthetic 2x2 crossover bioequivalence study (N = 40), from sample size and randomization through the SAP, ADaM (admiral), NCA (PKNCA), the ICH M13A analysis, TLFs, and CSR Section 11-style text, regenerated by one script in CI. QC is a same-author re-derivation, not independent double programming.
  • TRIALMON safety review: a Safety Review Committee packet and Shiny console for a synthetic first-in-human dose escalation, with a Hy's Law grid that checks whether each flag holds under alternative SAP conventions. Not validated; author sign-off pending.
  • QC harness: ten gates, including a same-author recomputation of the PK, bioequivalence, and adverse-event results and a seeded-defect check of 18 defects registered in advance (counts for that list, not a detection rate), in which only the recomputation caught the seven numeric and counting defects. Human sign-off is pending on every gate.
  • Method transfers from my research: an exploratory residual-carryover study of the ICH M13A 5% pre-dose rule, following the design of my CRT simulation study; an exploratory C-QTc hysteresis check, a small formalization of the standard check on the established signed loop area, framed from my directed-contagion work; and the seeded-defect check (established error seeding, adapted from the teeth check in my consilience engine) and the Hy's Law grid (a structured sensitivity analysis, adapted from its method-invariance grid).
  • SAS and R TLF libraries (221 programs per language across five study designs; all 221 R programs execute on synthetic fixtures, native SAS not executed) and four R Shiny apps that run in the browser, with live loading status and a pre-deploy browser test: TRIALMON console, IRT/RTSM UAT tracker, Study Lifecycle Monitor, and the vaccine analysis workspace, which maps study CSVs or loads a fictional example and runs six immunogenicity and reactogenicity outputs with no installation or account.
  • Point-and-click setup: an optional local control panel for private projects, numerical examples, QC checks and generated study packages, with guided forms that map CSV inputs to the TLF libraries and monitoring checks.
  • Operational tools, no AI required: Open Study Tracker, a coverage and continuity toolkit, and a find-hours reconciliation for effort only.

• eCRF pipeline apps (run in the browser): Four Streamlit apps (Coding QC assist, De-identification review assist, Participant risk screening, Central statistical monitoring) that also run in the browser on bundled synthetic data, with uploads disabled and placeholder dictionary codes, not MedDRA. The evaluation reports measured failures (the de-identification stand-in left 108 of 308 identifiers readable, the full model 91) and a pre-registered within-sibling check, adapted from my AlphaGenome audit, that routes both term families to human coding. Not validated.

• calibrated-clinical-ml: From-scratch calibration and decision-curve evaluation against a synthetic oracle; demonstrates how identical AUC can conceal different probability calibration.

Manuscript → code → demo map: manuscript versions, research artifacts, teaching materials, and related applications for six studies. Each research project has a concise study guide and a complete educational companion, linked below as public PDFs. The AlphaGenome entry distinguishes the current rework from the earlier audit. Its status was updated on 29 October 2026; the other submission and review statuses retain their 23 October 2026 record.

• Contamination-Resilient Cluster Randomized Trial Design under Spatial Interference: A Simulation Study of Contamination Control. Statistics in Medicine (submitted 19 October 2026). Latest preprint · Code and data · Live demo · Study guide · Complete companion

• Auditing preprocessing-sensitive allele rankings in predicted chromatin contact maps. BMC Bioinformatics (submitted 29 October 2026; technical check). Latest manuscript · Code and data · Live demo · Study guide · Complete companion

  Earlier audit, desk-rejected for journal fit: What do within-site comparisons of AlphaGenome Atlas predictions measure? An audit at ClinVar sites in 11 genes. Earlier preprint · Archived code and data · Earlier demo · Earlier teaching materials.

• A false floor: Refuting our own information-limit claim in a lethal identification task. PLOS ONE (submitted 22 October 2026). Latest preprint · Provenance and training-catalog overlap records · Earlier code snapshots · Study guide · Complete companion

• Anticipating Network Contagions: When Directedness Outperforms Connectedness. Applied Network Science (with editor). Author draft · Code and data · Resilience Telemetry · Study guide · Complete companion

• Which data modality recognizes a gene set? A domain-agnostic consilience engine. PeerJ (in peer review). Author draft · Code · Study guide · Complete companion

• No emotion-specific image-computable code in the human left amygdala. Peer Community In, preprint review. Latest preprint · Code · Study guide · Complete companion

Published work

• Acknowledged contributor: developed the data extraction and normalization programs for the study dataset in Osterhage KP, Hser YI, Mooney LJ, et al. Identifying patients with opioid use disorder using International Classification of Diseases (ICD) codes: Challenges and opportunities. Addiction. 2024;119(1):160-168.

• Co-author: Ben-Avie M, Rosenwald L, Depastino R, Iben P. How can we help young adults with autism thrive in the workplace? The Conversation, 2016.

Small, runnable tools for examining model-output reliability and service behavior:

• numguard: Deterministic checks of extracted numeric values against allowed facts, required facts, and a finite phrase denylist; JSON/JUnit export for CI.

• tool-grounded-agent: A scripted planner demonstrates tool-ledger provenance and a grounding backstop. The harness includes executable known-gap tests; it does not run a language model.

• grounded-rag: Lexical retrieval and an extractive answerer with checks for numeric membership and lexical support. A runnable evaluation prototype.

• guarded-llm-service: The grounding guard served over FastAPI with Docker, CI, and Prometheus-style metrics.

_{Shared examples and hosted demonstrations use public or synthetic data; the vaccine workspace also accepts mapped study CSVs, computed entirely in the browser. Clinical examples are synthetic and labeled by status; none is validated or regulatory, and the in-browser clinical apps have been checked in Chrome only. Consoles distinguish observations, source-issued forecasts, modeled estimates, and exercises, with freshness and coverage stated. Autonomic Telemetry also supports private local wearable input; research and prototype limits are documented.}