プロフィール詳細

プロジェクトを作成

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Adil H.に依頼

Spain

Clinical Data Scientist | RWE · ML · Survival Analysis · NGS Bioinformatics · GCP | Q1 Publication

プロフィール概要

Clinical Data Scientist specialising in Real World Evidence (RWE) and machine learning applied to clinical data. I work with real-world Electronic Health Records (EHR) to build end-to-end analytical pipelines — from raw longitudinal data to actionable clinical insights. My work spans two complementary methodologies: supervised ML for clinical prediction (XGBoost, scikit-learn, SHAP, Optuna, probability calibration) and time-to-event survival analysis (Kaplan-Meier, Cox Proportional Hazards, lifelines). Both applied to real patient cohorts, not academic datasets. Recent work includes an ML pipeline for annual asthma poor-control prediction (ROC-AUC 0.82, 304,483 patient-year records) and a survival analysis of biological treatment outcomes in severe asthma — covering time to biological initiation, exacerbation, hospitalisation, and treatment failure. This work contributed to a Q1 publication in Respiratory Research (2026). Additional experience in clinical trial data management, CRF design, query resolution, Good Clinical Practice (GCP), and sample size calculation for clinical research protocols. Additional background in NGS bioinformatics, including end-to-end RNA-seq and RIP-seq pipelines (HISAT2, Bowtie2, DESeq2, MACS3, clusterProfiler) applied to real experimental data in S. cerevisiae*. Comfortable with the full workflow from raw FASTQ to differential expression and functional enrichment analysis.* Core stack: Python · R · SQL · XGBoost · lifelines · SHAP · Optuna · pandas · Git · Docker · Conda · Bioconductor · DESeq2 · HISAT2 · Bowtie2 · Snakemake Open to projects in: RWE studies · clinical prediction modelling · survival analysis · EHR data analysis · biostatistics · clinical trial data management · RNA-seq analysis · differential expression · NGS pipelines

専門分野

• ☆ Biostatistics
• ☆ Molecular Biology
• ☆ Omics
• ☆ Genomics
• ☆ Next Generation Sequencing (NGS)
• ☆ RNA Sequencing
• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Machine Learning
• ☆ Bioinformatics
• ☆ Python
• ☆ SQL
• ☆ R
• ☆ Scikit-learn
• ☆ Clinical Trials
• ☆ Clinical Trials Data Analysis
• ☆ Public Health
• ☆ Epidemiology

サービス

• Research
• Consulting
• Data & AI

Research Feasibility Study, Scientific and Technical Research, Secondary Data Collection

Consulting Healthcare Consulting, Scientific and Technical Consulting, Regulatory Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing, Data Insights

職務経験

Data Analyst | Data Scientist

Marqués de Valdecilla University Hospital

- 現在

BIoinformatician

Functional Biology and Genomics Institute

9月 2024 - 12月 2024

学歴

Master of Engineering in Bioinformatics

murcia university

9月 2023 - 7月 2024

Degree in Biotechnology

murcia university

9月 2019 - 7月 2023

認定資格

• data analysis for life sciences

  HarvardX

  https://credentials.edx.org/credentials/5608eb30669442bea27a9cf70f7bf602/

  9月 2023 - 現在

• Machine Learning with Python

  IBM

  https://www.coursera.org/account/accomplishments/verify/WG7U9KHZ79RX

  4月 2023 - 現在

出版物

JOURNAL ARTICLE

García-Rivero JL, Hannaoui Anaaoui A, Pallarés-Sanmartín A, Blanco-Aparicio M, García-Hernáez R, García-Gallardo Sanz V, Calvo-Álvarez U, Carazo-Fernández L, Hermida-Valverde T, Dorronsoro S, et al. (2026). Multidomain clinical and biological remission with tezepelumab in severe asthma: a 12-month multicentre real-world study . Respiratory research.