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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="Daniel Ribes - Senior Health Economist and AI / GenAI Engineer with 10+ years of experience in HEOR modeling, HTA submissions, market access and generative-AI systems">
<meta name="keywords" content="health economist, HEOR, HTA, market access, economic modeling, cost-effectiveness, budget impact, generative AI, RAG">
<meta name="author" content="Daniel Ribes">
<meta name="theme-color" content="#0E5468">
<title>Daniel Ribes - Senior Health Economist & AI Engineer | HEOR & Market Access</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Schibsted+Grotesk:wght@500;600;700;800&family=Source+Serif+4:ital,opsz,wght@0,8..60,400;0,8..60,600;1,8..60,400&display=swap" rel="stylesheet">
<link rel="stylesheet" href="css/site.css?v=1">
</head>
<body>
<a class="skip-link" href="#main">Skip to content</a>
<header class="nav">
<div class="wrap nav-inner">
<a class="nav-brand" href="#top">Daniel Ribes</a>
<button class="nav-toggle" id="navToggle" aria-expanded="false" aria-controls="navMenu">Menu</button>
<nav aria-label="Main">
<ul class="nav-menu" id="navMenu">
<li><a href="#about">About</a></li>
<li><a href="#expertise">Expertise</a></li>
<li><a href="#work">Work</a></li>
<li><a href="#experience">Experience</a></li>
<li><a href="#education">Education</a></li>
<li><a class="nav-cta" href="#contact">Contact</a></li>
</ul>
</nav>
</div>
</header>
<main id="main">
<!-- Hero -->
<section class="hero" id="top">
<div class="wrap hero-grid">
<div class="hero-text">
<h1 class="hero-name">Daniel Ribes</h1>
<p class="hero-role">Senior Health Economist and AI / GenAI Engineer</p>
<p class="hero-lede">
I build the economic models that pricing and access decisions rest on, and the AI systems
that make evidence work faster and easier to check.
</p>
<div class="hero-actions">
<a class="btn btn-primary" href="#contact">Get in touch</a>
<a class="btn btn-quiet" href="https://github.com/danribes/" target="_blank" rel="noopener noreferrer">GitHub projects</a>
<a class="btn btn-quiet" href="Daniel_Ribes_CV.pdf" target="_blank" rel="noopener">Download CV</a>
</div>
<dl class="hero-facts">
<div><dt>Years in HEOR</dt><dd>10+</dd></div>
<div><dt>HTA bodies</dt><dd>NICE, NCPE, SMC</dd></div>
<div><dt>Languages</dt><dd>7</dd></div>
<div><dt>Based in</dt><dd>Barcelona</dd></div>
</dl>
</div>
<figure class="km">
<svg viewBox="0 0 520 340" role="img" aria-labelledby="kmTitle kmDesc">
<title id="kmTitle">Illustrative Kaplan–Meier survival curves</title>
<desc id="kmDesc">Two stepped survival curves over ten years. The new treatment stays above the comparator, and the shaded area between them represents the survival gained.</desc>
<g class="km-grid">
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<path class="km-line km-comparator" pathLength="1" d="M56.0,24.0 H88.2 V72.4 H89.6 V74.2 H113.1 V103.8 H124.5 V116.6 H140.1 V132.9 H150.9 V143.3 H186.7 V173.2 H191.1 V176.4 H194.8 V179.1 H197.3 V180.8 H222.2 V197.0 H245.9 V210.3 H256.8 V215.8 H297.3 V233.3 H311.9 V238.6 H313.5 V239.2 H336.4 V246.6 H354.2 V251.6 H362.2 V253.7 H403.0 V263.0 H412.3 V264.8 H430.5 V268.1 H500.0"/>
<path class="km-line km-treatment" pathLength="1" d="M56.0,24.0 H78.7 V38.9 H82.6 V41.4 H87.5 V44.4 H92.6 V47.6 H93.7 V48.3 H101.5 V53.0 H115.7 V61.4 H127.3 V68.0 H158.3 V84.9 H201.4 V106.3 H219.3 V114.5 H232.6 V120.4 H244.5 V125.5 H248.5 V127.2 H280.1 V139.9 H292.3 V144.5 H309.9 V151.0 H331.5 V158.5 H341.6 V161.9 H416.9 V184.8 H468.7 V198.2 H480.9 V201.1 H500.0"/>
<path class="km-censor" d="M192.5,79.9 v10 M209.1,101.3 v10 M298.6,139.5 v10 M317.2,146.0 v10 M375.7,156.9 v10 M430.7,179.8 v10"/>
<g class="km-axis">
<path d="M56,20 V296 H500"/>
<path d="M56,296 v5 M144.8,296 v5 M233.6,296 v5 M322.4,296 v5 M411.2,296 v5 M500,296 v5 M51,24 h5 M51,160 h5 M51,296 h5"/>
</g>
<g class="km-labels">
<text x="56" y="318" text-anchor="middle">0</text>
<text x="144.8" y="318" text-anchor="middle">2</text>
<text x="233.6" y="318" text-anchor="middle">4</text>
<text x="322.4" y="318" text-anchor="middle">6</text>
<text x="411.2" y="318" text-anchor="middle">8</text>
<text x="500" y="318" text-anchor="middle">10</text>
<text x="278" y="336" text-anchor="middle">Years</text>
<text x="44" y="28" text-anchor="end">1.0</text>
<text x="44" y="164" text-anchor="end">0.5</text>
<text x="44" y="300" text-anchor="end">0</text>
</g>
<g class="km-keys">
<text class="key-treatment" x="346" y="148">New treatment</text>
<text class="key-comparator" x="140" y="204">Comparator</text>
<text class="key-gain" x="376" y="222">Survival gained</text>
</g>
</svg>
<figcaption>
Every cost-effectiveness question starts with the gap between two curves.
<span>Illustrative Kaplan–Meier estimate, not trial data.</span>
</figcaption>
</figure>
</div>
</section>
<!-- About -->
<section class="block" id="about">
<div class="wrap block-grid">
<h2 class="block-title">About</h2>
<div class="block-body">
<p class="lead">
Senior Health Economist and AI engineer with <strong>10+ years</strong> bridging rigorous HEOR methodology,
advanced analytics and software engineering. I have led HTA submissions to NICE, NCPE and SMC and built
cost-effectiveness, budget impact, partitioned-survival, Markov and dynamic-transmission models across oncology,
rare disease, cardiometabolic and renal conditions.
</p>
<p>
Since November 2025 I have delivered a portfolio of freelance HEOR models alongside production-grade
generative-AI systems: retrieval-augmented evidence agents, multi-model LLM orchestration and automated
evidence-to-deliverable pipelines. In 2026 I completed a Master's in Data Science & AI with First-class Honors.
</p>
<p>
My background is unusual for the field. I trained as an agricultural engineer, then as a health economist,
then as a blockchain developer, and I have worked and studied in Spain, the UK, Switzerland, the Netherlands and Belgium.
</p>
<ul class="pillars">
<li>
<h3>HTA track record</h3>
<p>Submissions to NICE, NCPE and SMC for clients including BeiGene, Pharmanovia and UCB.</p>
</li>
<li>
<h3>GenAI for evidence</h3>
<p>RAG evidence agents, MCP servers and multi-model LLM orchestration built for HEOR work.</p>
</li>
<li>
<h3>Models people can audit</h3>
<p>Transparent Excel/VBA, R and Python models, with independent QC of client models.</p>
</li>
</ul>
</div>
</div>
</section>
<!-- Expertise -->
<section class="block" id="expertise">
<div class="wrap block-grid">
<h2 class="block-title">Expertise</h2>
<div class="block-body">
<div class="skills">
<div class="skill">
<h3>Economic modeling & HTA</h3>
<p>Cost-effectiveness and budget impact models for NICE, NCPE and SMC submissions.</p>
<ul><li>Partitioned survival models</li><li>Markov, semi-Markov & microsimulation</li><li>Dynamic transmission models</li><li>PSA, OWSA & DSA</li></ul>
</div>
<div class="skill">
<h3>Survival & statistics</h3>
<p>Survival analysis and parametric modeling to interpret clinical data.</p>
<ul><li>Parametric survival extrapolation</li><li>Kaplan–Meier analysis</li><li>Hazard ratio estimation</li></ul>
</div>
<div class="skill">
<h3>Evidence synthesis</h3>
<p>Literature reviews and network meta-analysis to support value propositions.</p>
<ul><li>Bayesian & frequentist NMA</li><li>Indirect comparisons (MAIC, Bucher, STC)</li><li>Real-world evidence</li></ul>
</div>
<div class="skill">
<h3>Pricing & market access</h3>
<p>Pricing strategy, reimbursement dossiers and value communication tools.</p>
<ul><li>Global value dossiers</li><li>Pricing negotiation tools</li><li>Market access strategy</li></ul>
</div>
<div class="skill">
<h3>AI, GenAI & blockchain</h3>
<p>Generative-AI systems and machine learning for evidence work.</p>
<ul><li>RAG & LLM agents (LangGraph, ChromaDB)</li><li>MCP servers & multi-model orchestration</li><li>scikit-learn, PyTorch, SHAP</li><li>Solidity & Hyperledger</li></ul>
</div>
<div class="skill">
<h3>Programming</h3>
<p>Full-stack skills applied to modeling and tool building.</p>
<ul class="tags"><li>R</li><li>Python</li><li>VBA</li><li>C++</li><li>Julia</li><li>SQL</li><li>TypeScript</li><li>FastAPI</li><li>Docker</li><li>Power BI</li><li>WinBUGS</li></ul>
</div>
</div>
<h3 class="sub-title">What I deliver</h3>
<ul class="services">
<li><strong>HTA submissions & dossiers.</strong> NICE technology appraisals, global value dossiers and payer objection handlers.</li>
<li><strong>Economic models.</strong> Cost-effectiveness, budget impact and dynamic transmission models.</li>
<li><strong>Pricing & access strategy.</strong> Pricing strategy, portfolio pricing models and access planning.</li>
<li><strong>Evidence synthesis.</strong> Network meta-analyses, systematic literature reviews and real-world evidence.</li>
<li><strong>AI integration.</strong> Workflow automation, predictive analytics and RAG evidence agents.</li>
<li><strong>Custom tools.</strong> Excel/VBA applications, interactive dashboards and R/Python packages.</li>
</ul>
<h3 class="sub-title">Therapeutic areas</h3>
<dl class="areas">
<div><dt>Oncology</dt><dd>Prostate cancer, RCC, NSCLC, lymphoma, NETs, CAR-T</dd></div>
<div><dt>Rare diseases</dt><dd>Cushing's syndrome, sickle cell disease, hepatitis delta</dd></div>
<div><dt>Cardiometabolic & renal</dt><dd>Obesity, diabetes, Lp(a) / CVD, CKD</dd></div>
<div><dt>Vaccines</dt><dd>RSV, infectious disease prevention</dd></div>
<div><dt>Autoimmune</dt><dd>Rheumatic diseases, biologics</dd></div>
<div><dt>MedTech</dt><dd>Cardiac devices, PFO closure</dd></div>
</dl>
</div>
</div>
</section>
<!-- Work -->
<section class="block" id="work">
<div class="wrap block-grid">
<h2 class="block-title">Selected work</h2>
<div class="block-body">
<article class="case case-featured">
<div class="case-meta">
<p class="case-when">2026</p>
<p class="case-role">Master's final project</p>
</div>
<div class="case-body">
<h3>España en escenarios</h3>
<p>
A transparent macro-fiscal simulation and AI-model evaluation platform for Spain. It shows what a set of
assumptions on interest rates, growth, public balance and demographics implies for debt, housing and
twelve household profiles. Defended in September 2026 for the Master's in Data Science & AI at Evolve.
</p>
<ul>
<li>Semi-structural scenario engine in Python and TypeScript with stochastic debt projections</li>
<li>Regional housing models with bootstrap uncertainty</li>
<li>Gradient-boosting sovereign-default classifier explained with SHAP</li>
<li>RAG assistant that answers with cited passages, on dated data cut-offs with reproducible builds</li>
</ul>
<ul class="tags"><li>Python</li><li>TypeScript</li><li>Monte Carlo</li><li>RAG</li></ul>
<a class="text-link" href="https://danribes.github.io/tfm-data-science/" target="_blank" rel="noopener">Open the project</a>
</div>
</article>
<article class="case">
<div class="case-meta">
<p class="case-when">2025 – present</p>
<p class="case-role">AI engineer, DANRIBES S.L.</p>
</div>
<div class="case-body">
<h3>GenAI for HEOR: evidence agents and model QC</h3>
<p>Generative-AI systems that speed up evidence generation and check health economic models.</p>
<ul>
<li>RAG evidence agents (LangGraph, ChromaDB, Streamlit) that answer clinical and HEOR questions with sources</li>
<li>AI-versus-rule-based model QC benchmark: a 100-error fault library across 72 seeded models with a VBA detection engine</li>
<li>HEOR Studio, an AI-native toolkit of skills, MCP servers and workflows that builds documented R and Excel models</li>
<li>ISPOR 2026 abstract and poster on a human-in-the-loop AI QC workflow for HEOR Excel models</li>
</ul>
<ul class="tags"><li>LangGraph</li><li>MCP</li><li>Python</li><li>Excel/VBA</li></ul>
</div>
</article>
<article class="case">
<div class="case-meta">
<p class="case-when">2021 – 2024</p>
<p class="case-role">Lead modeler, GSK</p>
</div>
<div class="case-body">
<h3>Arexvy RSV dynamic transmission model</h3>
<p>Epidemiologic and pharmacoeconomic models for Arexvy, the RSV vaccine for older adults, supporting global market access.</p>
<ul>
<li>Hybrid Excel / R / C++ architecture with ODE-based dynamic transmission</li>
<li>Multi-country model that adapts to different demographics</li>
<li>Aligned with ICON PLC and RTI on the global value dossier</li>
<li>Informed vaccination timing and target population decisions</li>
</ul>
<ul class="tags"><li>Excel/VBA</li><li>R (ODEs)</li><li>C++</li></ul>
</div>
</article>
<article class="case">
<div class="case-meta">
<p class="case-when">2021 – 2024</p>
<p class="case-role">Model developer, with CHESS</p>
</div>
<div class="case-body">
<h3>RSV static cost-effectiveness and budget impact models</h3>
<p>Static CEM and BIM built for multiple country adaptations.</p>
<ul>
<li>Flexible architecture for market localisation</li>
<li>ICER and QALY estimation with scenario and sensitivity analysis</li>
<li>Integrated budget impact projections for payers</li>
</ul>
<ul class="tags"><li>Excel</li><li>VBA</li></ul>
</div>
</article>
<article class="case">
<div class="case-meta">
<p class="case-when">2020 – 2021</p>
<p class="case-role">HEOR manager, Novartis Oncology</p>
</div>
<div class="case-body">
<h3>NET portfolio budget impact model</h3>
<p>A portfolio approach for neuroendocrine tumours that allows flexible pricing across several products.</p>
<ul>
<li>Pricing mechanisms with volume capping and portfolio discounts</li>
<li>Matrix engine linking patient flow to survival data</li>
<li>Real-time scenarios for payer negotiations, adapted for Canada and LATAM</li>
</ul>
<ul class="tags"><li>VBA engine</li><li>Budget impact</li></ul>
</div>
</article>
<article class="case">
<div class="case-meta">
<p class="case-when">2018 – 2020</p>
<p class="case-role">Model developer, Wellmera</p>
</div>
<div class="case-body">
<h3>Cushing's syndrome semi-Markov model</h3>
<p>A non-homogeneous semi-Markov cohort model estimating the cost-effectiveness of osilodrostat (LCI699) in Finland.</p>
<ul>
<li>262-state engine based on treatment history and response</li>
<li>Executive interface for non-technical users</li>
<li>"World with / without" scenarios, tornado analysis and patient flow charts</li>
</ul>
<ul class="tags"><li>Excel/VBA</li><li>Semi-Markov</li></ul>
</div>
</article>
<p class="aside">More code, models and dashboards are on <a class="text-link" href="https://github.com/danribes/" target="_blank" rel="noopener noreferrer">GitHub</a>.</p>
</div>
</div>
</section>
<!-- Publications -->
<section class="block" id="publications">
<div class="wrap block-grid">
<h2 class="block-title">Publications</h2>
<div class="block-body">
<article class="pub">
<p class="pub-journal">Kidney International Reports, 2021</p>
<h3><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938080/" target="_blank" rel="noopener">Cost-effectiveness analysis of a multi-faceted acute kidney injury intervention approach</a></h3>
<p>A decision tree model showing the economic value of early detection of acute kidney injury.</p>
</article>
<article class="pub">
<p class="pub-journal">Current Medical Research and Opinion, 2018</p>
<h3><a href="https://www.ncbi.nlm.nih.gov/pubmed/29292670" target="_blank" rel="noopener">Cost-effectiveness analysis of paliperidone palmitate for schizophrenia in the UAE</a></h3>
<p>A validated one-year decision tree adapted to the UAE, comparing long-acting injectable and oral antipsychotics.</p>
</article>
</div>
</div>
</section>
<!-- Experience -->
<section class="block" id="experience">
<div class="wrap block-grid">
<h2 class="block-title">Experience</h2>
<div class="block-body">
<ol class="timeline">
<li>
<p class="tl-when">Nov 2025 – present</p>
<div>
<h3>Freelance HEOR Modeler & AI Engineer</h3>
<p class="tl-where">DANRIBES S.L., Barcelona (remote)</p>
<p>Oncology CAR-T cost-effectiveness and multi-line lymphoma budget impact models, independent model QC and VBA audits, ITC/NMA feasibility tooling, and GenAI systems for evidence work.</p>
</div>
</li>
<li>
<p class="tl-when">Jul – Oct 2025</p>
<div>
<h3>Engagement Manager</h3>
<p class="tl-where">IQVIA, Barcelona (remote)</p>
<p>Projects with the IQVIA Core Obesity Model and integrated Obesity–Diabetes Model across 20+ year cardiometabolic horizons.</p>
</div>
</li>
<li>
<p class="tl-when">Oct 2024 – Jul 2025</p>
<div>
<h3>HTA Modeler & AI Integration Project Lead</h3>
<p class="tl-where">AXIS Consulting UK, Barcelona (remote)</p>
<p>Coordinated HTA submissions to NICE, NCPE and SMC, and brought AI into consultancy workflows to cut manual evidence work.</p>
</div>
</li>
<li>
<p class="tl-when">Jul 2021 – Oct 2024</p>
<div>
<h3>Lead Modeler, Arexvy RSV</h3>
<p class="tl-where">GSK (freelance), Barcelona (remote)</p>
<p>Dynamic transmission, static cost-effectiveness and budget impact models for the Arexvy vaccine.</p>
</div>
</li>
<li>
<p class="tl-when">Jun 2020 – Jun 2021</p>
<div>
<h3>Region Europe HEOR Manager</h3>
<p class="tl-where">Novartis Oncology, Basel</p>
<p>Supported country affiliates with HTA submissions, built pricing constructs and set up a HEOR Centre of Excellence.</p>
</div>
</li>
<li>
<p class="tl-when">Mar 2018 – May 2020</p>
<div>
<h3>Health Economist Modeler, Head</h3>
<p class="tl-where">Wellmera AG, Basel</p>
<p>Built a 262-state semi-Markov model for Cushing's syndrome and published research on acute kidney injury interventions.</p>
</div>
</li>
<li>
<p class="tl-when">2015 – 2018</p>
<div>
<h3>Health Economist Modeler</h3>
<p class="tl-where">Envision Pharma–Curo, Wickenstones and Novartis Oncology (intern), UK</p>
<p>Health economic modeling for pharmaceutical clients after the MSc in Health Economics.</p>
</div>
</li>
</ol>
</div>
</div>
</section>
<!-- Education -->
<section class="block" id="education">
<div class="wrap block-grid">
<h2 class="block-title">Education</h2>
<div class="block-body">
<ol class="timeline timeline-compact">
<li>
<p class="tl-when">2026</p>
<div>
<h3>Master's in Data Science & AI <span class="honour">With First-class Honors</span></h3>
<p class="tl-where">Evolve</p>
<p>Python, machine learning, deep learning, NLP, LLMs and RAG. <a class="text-link" href="https://evolve.es/certificados/9c15dd02-ef88-4553-a93d-5267aad84993/" target="_blank" rel="noopener">Verify certificate</a></p>
</div>
</li>
<li>
<p class="tl-when">2024</p>
<div>
<h3>Master in Blockchain Development</h3>
<p class="tl-where">Codecrypto Academy, Madrid</p>
<p>Full stack, DevOps, Solidity and Hyperledger.</p>
</div>
</li>
<li>
<p class="tl-when">2017</p>
<div>
<h3>Advanced Modelling Methods for Economic Evaluation</h3>
<p class="tl-where">Centre for Health Economics, University of York</p>
</div>
</li>
<li>
<p class="tl-when">2014 – 2015</p>
<div>
<h3>MSc in Health Economics <span class="honour">With Distinction</span></h3>
<p class="tl-where">City, University of London</p>
</div>
</li>
<li>
<p class="tl-when">2005 – 2006</p>
<div>
<h3>Management Development Program (PDD)</h3>
<p class="tl-where">IESE Business School, Universidad de Navarra</p>
</div>
</li>
<li>
<p class="tl-when">1986 – 1993</p>
<div>
<h3>MSc in Agricultural Engineering</h3>
<p class="tl-where">UPC Barcelona and Wageningen University (Erasmus)</p>
</div>
</li>
</ol>
<h3 class="sub-title">Languages</h3>
<ul class="langs">
<li><span class="lang">Spanish</span><span class="scale" data-level="5" role="img" aria-label="5 of 5"><i></i><i></i><i></i><i></i><i></i></span><span class="level">Native</span></li>
<li><span class="lang">Catalan</span><span class="scale" data-level="5" role="img" aria-label="5 of 5"><i></i><i></i><i></i><i></i><i></i></span><span class="level">Native</span></li>
<li><span class="lang">English</span><span class="scale" data-level="4" role="img" aria-label="4 of 5"><i></i><i></i><i></i><i></i><i></i></span><span class="level">Fluent</span></li>
<li><span class="lang">French</span><span class="scale" data-level="3" role="img" aria-label="3 of 5"><i></i><i></i><i></i><i></i><i></i></span><span class="level">Advanced</span></li>
<li><span class="lang">Italian</span><span class="scale" data-level="3" role="img" aria-label="3 of 5"><i></i><i></i><i></i><i></i><i></i></span><span class="level">Advanced</span></li>
<li><span class="lang">Portuguese</span><span class="scale" data-level="2" role="img" aria-label="2 of 5"><i></i><i></i><i></i><i></i><i></i></span><span class="level">Intermediate</span></li>
<li><span class="lang">German</span><span class="scale" data-level="1" role="img" aria-label="1 of 5"><i></i><i></i><i></i><i></i><i></i></span><span class="level">Basic</span></li>
</ul>
</div>
</div>
</section>
<!-- Contact -->
<section class="contact" id="contact">
<div class="wrap">
<h2 class="contact-title">Have a model to build, check or speed up?</h2>
<p class="contact-lede">
I design transparent HEOR models that inform pricing and access decisions, and I use AI to make
evidence generation faster. Write to me about your project.
</p>
<a class="contact-email" href="mailto:danribes@iies.es?subject=Enquiry%20from%20danribes.github.io">danribes@iies.es</a>
<dl class="contact-list">
<div><dt>Phone</dt><dd><a href="tel:+34696628377">+34 696 62 83 77</a></dd></div>
<div><dt>Location</dt><dd>Barcelona, Spain. Working remotely.</dd></div>
<div><dt>LinkedIn</dt><dd><a href="https://www.linkedin.com/in/daniel-ribes-health-economics-data-scientist-engineer-ai-blockchain/" target="_blank" rel="noopener noreferrer">Daniel Ribes</a></dd></div>
<div><dt>GitHub</dt><dd><a href="https://github.com/danribes/" target="_blank" rel="noopener noreferrer">danribes</a></dd></div>
<div><dt>CV</dt><dd><a href="Daniel_Ribes_CV.pdf" target="_blank" rel="noopener">Download CV</a></dd></div>
</dl>
</div>
</section>
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