Clancy Dennis

I possess a rare hybrid expertise: PhD-level clinical insight fused with Senior Engineering rigor. I don't just write code; I translate complex physiological realities into scalable AI solutions.

Publications

Patents

Awards

Years Exp

Contact Me LinkedIn GitHub OTTIT Cook with Otto

The Synthesis

My career is defined by the convergence of three distinct disciplines. The evidence below demonstrates how I unify them to solve healthcare's hardest problems.

Domain Expertise

Deep clinical understanding rooted in PhD research, respiratory physiology, and patient trials.

PhD in Health Science
Peer-reviewed Publications
Clinical Trial Design

Engineering Rigor

Hard engineering skills in medical device regulation, embedded systems, and control algorithms.

4+ Key Patents
Medical Device R&D
FDA/EU Regs Knowledge

AI & Scalability

Architecting the future of care with secure, large-scale Generative AI pipelines and cloud infrastructure.

ChatEHR Architect
Azure & LLM Agents
Production-Grade AI

Scaling Intelligence

LLMs in Healthcare: Automating Clinical Workflows

Senior Data Engineer @ Stanford Healthcare

Large Language Models are transforming healthcare by automating documentation, enabling natural language interfaces to clinical data, and reducing physician burnout. I architect production-grade LLM systems that bring generative AI safely into hospital environments—from AI scribes that auto-generate clinical notes to intelligent EHR assistants that let clinicians query patient records conversationally.

ChatEHR: Medical Chatbot

Privacy-preserving GenAI platform embedded in Epic EHR. Clinicians query patient records via natural language, reducing chart review time.

AI Scribes & Automated Notes

Real-time transcription systems that generate SOAP notes, treatment plans, and clinical summaries—freeing physicians to focus on patient care.

Workflow Automation

LLM-powered pipelines for prior authorizations, referral letters, patient communication, and administrative task automation.

LLMsGen AIAzure OpenAIHIPAA ComplianceAI Scribes

Impact

Featured in Stanford Medicine News
Production-grade Clinical Deployment
Reducing physician documentation burden
Model for health systems implementing AI

Foundational Algorithms (The Logic Before The AI)

My work in Generative AI is built upon over two decades of architecting deterministic, life-critical therapy algorithms. This deep understanding of "Medical Logic" ensures my AI solutions are safe, grounded, and clinically valid.

RESMED

iVAPS & AutoSet 2

Intelligent Volume-Assured Pressure Support. The gold standard in adaptive sleep therapy.

EOVE

EO-150 & EO-70

Complex control loops for life-support ventilation and cough assistance.

SENDSOR / IDIAG

P100 CO2 Control

Precision CO2 control loops for respiratory muscle training and lung rehabilitation.

Cook with Otto

Agentic Cooking Assistant & Recipe Ecosystem.

Multi-agent system for personalized nutrition and culinary discovery.

OTTIT

The AI-to-AI Discussion Network.

A "Reddit for Agents" platform where LLM instances debate and collaborate.

Technical Arsenal

PythonGen AIMachine LearningAzureReactSwiftMatlab

Business of AI

Ignite Certificate, Stanford GSB

Developed "StudyBuddy" Learning AI business model. Bridging the gap between tech and market viability.

Engineering The Mechanism

Patented Innovations

Respiratory therapy apparatus and method

ResMed•2024

US12048810B2granted

Monitoring Respiratory Pressure Therapy

ResMed•2025

EP4403199A3published

Electrically stimulated respiratory assistance component

EOVE Medical•2013

WO2013067582A1published

Methods and apparatus for providing ventilation to a patient

ResMed•2017

US9597468B2granted

Respiratory augmentation device

ResMed•2018

US20180071468A1published

Device R&D Experience

Contract Engineer

Clancy Dennis Services

Designed AI-controlled ventilation devices & simulations in C++/Matlab.

Business Dev Manager

Sendsor GmbH

Engineered CO2 sensor correction algorithms & medical flow sensors.

Senior System Engineer

Eove Medical

Developed therapy algorithms for cough assist devices.

Biomedical Research Engineer

ResMed

Co-founded internal startup, developed respiratory device trials & lung simulation tools.

1st Place, Munich RE Competition

Covid19 Rapid Ventilator Design (2020)

Open Source & Data Infrastructure

FreeScribe-GPT

Real-time medical transcription leveraging GPT Realtime API and GPT Audio for low-latency, high-accuracy clinical documentation.

GPT-RealtimeGPT-AudioPython

FHIR Data Synth Test

Synthetic healthcare data generator for FHIR standards. Creates realistic patient records to validate AI pipelines without compromising patient privacy.

FHIRPythonHealthcare

Understanding The Domain

Academic & Research Backbone

PhD, Faculty of Health Science

University of Sydney

"Dynamic hyperinflation and non-invasive ventilation during exercise in COPD"

Bachelor of Engineering (Electrical)

University of Sydney

Postdoctoral Researcher

Stanford University

AI & ML techniques for imaging/blood biomarkers, disease severity & treatment response

Publications

Awards

20+

Years Exp

Peer-Reviewed Publications

Bilevel Noninvasive Ventilation During Exercise Reduces Dynamic Hyperinflation and Improves Cycle Endurance Time in Severe to Very Severe COPD

CHEST•2021

PMID: 34224690First Author

Perceptions of Noninvasive Ventilation During Exercise in Noninvasive Ventilation-Naïve Patients With COPD

Respiratory Care•2022

PMID: 35318238First Author

Automatic oxygen titration versus constant oxygen flow rates during walking in COPD: a randomised controlled, double-blind, crossover trial

Thorax•2023

PMID: 34656996

High-intensity non-invasive ventilation during exercise-training versus without in people with very severe COPD and chronic hypercapnic respiratory failure: a randomised controlled trial

BMJ Open Respiratory Research•2023

PMID: 37993279

An automatically titrating oxygen-flow system during walking in hypoxaemic post-COVID-19 patients – A randomized controlled double-blind cross-over pilot trial

Respiratory Medicine and Research•2023

PMID: 38039665

Impaired Sleep in Patients with Post-COVID-19 Syndrome

Respiration•2024

PMID: 38432219

Effect of non-invasive ventilation on the measurement of metabolic and ventilatory variables during exercise

Respiratory Physiology & Neurobiology•2016

PMID: 26932772First Author

Awards & Recognition

1st Place2020

Munich RE Covid19 Rapid Ventilator Design Competition

Munich RE

Won international competition for rapid ventilator prototype during the COVID-19 pandemic. Demonstrated engineering excellence and rapid innovation under critical healthcare demand.

2nd Place2022

Science Slam

DGP Congress, Leipzig

Awarded for outstanding scientific communication, presenting complex respiratory research to a broad audience in an engaging and accessible format.

2018

ERS Young Scientist Sponsorship

European Respiratory Society

Granted to promising researchers based on merit of abstract submissions in pulmonary rehabilitation and ventilation research. Supported attendance at the ERS International Congress.