José Antonio Esquivel Gaytan
MD, MSc, PhD Candidate
Personal Information
Nationality
Dutch
Current Position
PhD Candidate (UMCG) · Applied AI Workflow Designer
Affiliation
Experimental Cardiology, University Medical Center Groningen
Professional Profile
Physician-scientist and PhD candidate in Experimental Cardiology (UMCG) integrating clinical insight with translational research in biomarkers, high-throughput screening, and nanoparticle concepts. I design responsible, workable AI workflows for healthcare—prompt engineering, model/tool selection, and LLM-assisted prototyping—while keeping ethics, explainability, and MDR awareness at the center.
- Bridge between clinical teams and developers; turn clinical needs into usable AI tools.
- Co-developer of QGuard-Med (AI-driven patient prioritization with continuous biomarker tracking).
- Committed to Moral AI Literacy: bias, accountability, model cards, and transparent deployment.
Relevant Experience
Nov 2018 – Feb 2025
Doctoral Researcher (PhD Candidate)
University Medical Center Groningen, Netherlands
- OPLAH & Oxidative Stress: Biomarker workflows to explore cardio-renal mechanisms and heart failure.
- Assay & Screening: High-throughput strategy; robustness metrics (Z’, S/B); nanoparticle concepts.
- AI-aided Comms: Data visualization and LLM-assisted documentation for scientific outputs.
- Teaching/Collab: Contribution to seminars; cross-functional work with clinicians/data scientists.
Jun 2025 – Aug 2025
Clinical Research Investigator & AI Project Manager (Short-term)
PECTUS Respiratory Health (PANGAEA) · Girona/Barcelona, Spain
- 3-month appointment across three healthcare-AI projects; clinical–development bridge.
- LLM-assisted prototyping (prompt libraries, model selection: ChatGPT/Claude/Gemini; Mistral/DeepSeek via API).
- Proposed guardrails for responsible AI (bias, explainability, privacy-by-design, MDR awareness).
2024 – 2025
Co-developer — QGuard-Med (v2.4)
Groningen / Barcelona
- AI-driven patient prioritization using time, trend, and severity with continuous biomarker tracking.
- Prototypes with FastAPI (backend) and Next.js (frontend), orchestrated with LLMs.
- Finalist — Break The Gap 2025 (AI for Health & Sport Summit).
Mar 2018 – Oct 2018
Clinical Supervisor & Lecturer
Universidad del Valle de México, Mexico
- Guided medical students in clinical rotations and delivered educational sessions.
- Ensured high training standards in clinical and academic settings.
Nov 2017 – May 2018
Medical Researcher
Science iN, Mexico City, Mexico
- Maintained data integrity and standardized documentation across sites.
- Authored technical/regulatory reports with clinical teams.
Jan 2015 – Dec 2015
Community General Practitioner (Clinical Research Intern)
IMEMIC, Mexico City, Mexico
- Supported clinical trial operations and documentation.
- Optimized laboratory workflows and sample tracking.
- Delivered primary consultations and education initiatives.
Jan 2014 – Dec 2014
Clinical Intern (Chief)
ISSSTE MX, Querétaro, Mexico
- Rotations in Family Medicine, Pediatrics, and Surgery.
- Mentored interns and improved clinical workflows.
Skills
Project & Communication
Project Management
Team Leadership
Clinical–Tech Translation
Scientific Writing
Protocol Development
Regulatory Awareness (MDR)
Translational & Clinical
Translational Medicine
Biomarker Analysis
Assay/HTS Literacy
Wet Lab & Molecular
Molecular Biology
Protein Purification
Cell Culture
Western Blot
qRT-PCR
LC-MS
AI & Data
Prompt Engineering
Model/Tool Selection
LLM-assisted Prototyping
Programming & Tools
Python (FastAPI)
JS/TS (Next.js/React)
Docker · Git
pandas/numpy (basic analytics)
Education
PhD in Biomedical/Medical Sciences
University of Groningen (UMCG)
Nov 2018 – Feb 2025
MSc in Nanotechnology & Regenerative Medicine (Distinction)
University College London (UCL)
Sep 2016 – Nov 2017
- Honors: Awarded with Distinction
- Project: Photochemical Internalisation for Pancreatic Cancer Treatment
- Key Modules: Translational Medicine, Nanotechnology, Biomaterials, Tissue Engineering
MD (Physician)
Universidad Nacional Autónoma de México (UNAM)
Aug 2009 – Nov 2016
Publications
-
Esquivel-Gaytan, A., et al. (2024). “404-error ‘Disease not found’: Unleashing the translational potential of omics approaches beyond traditional disease classification in heart failure research.”
European Journal of Heart Failure.
DOI: 10.1002/ejhf.3268
Integrates omics to challenge classical HF classification and reveal novel mechanisms.
-
Esquivel-Gaytan, A., et al. (2023). “A high-throughput screening strategy identifies adenosine 5′-monophosphate as a novel enhancer of the cardio-protective enzyme 5-oxoprolinase (OPLAH).”
European Heart Journal, 44(Suppl_2), ehad655.3130.
DOI: 10.1093/eurheartj/ehad655.3130
Discovers AMP as an OPLAH modulator with potential cardioprotection.
-
Vermeer, M.C.S.C., Esquivel-Gaytan, J.A., et al. (2022).
“A translation re-initiation variant in KLHL24 causes epidermolysis bullosa simplex and dilated cardiomyopathy via intermediate filament degradation.”
British Journal of Dermatology, 187(6), 1045–1048.
DOI: 10.1111/bjd.21832
Links KLHL24 variant to skin and cardiac phenotypes via filament degradation.
Languages
- Spanish: Native
- English: C1
- Dutch: B1–B2 (actively studying)
- French: A2
- Catalan: A1
Certifications
- Good Clinical Practice — NDAT CTN (2025)
- Article 9 — Experiments on Animals Act License
- ML-1 Laboratory Certificate
- Elements of AI — University of Helsinki (completed)
- Driving License AM-B
Interests
CrossFit
Artificial Intelligence
Travel
Animal Welfare
Contact
Location: Groningen, Netherlands
Email: j.esquivel.gaytan@gmail.com
LinkedIn: linkedin.com/in/jose-antonio-esquivel-gaytan89
ResearchGate: Antonio-Gaytan-2
ORCID: 0000-0001-6974-1825
Website: drjaeg.com
Get in Touch