Career Profile

Accomplished biopharmaceutical leader with 10+ years of experience across Medical Affairs, real-world evidence (RWE), and advanced analytics. Proven track record in leading cross-functional teams, driving global medical strategies, and managing integrated evidence generation plans for complex therapeutic areas, including dermatology (Hidradenitis Suppurativa), metabolic, oncology, and neurology. Expert in collaborating with global/country affiliates, external medical experts, and KOLs to translate scientific insights into actionable medical strategies, HTA/reimbursement submissions, and product launch readiness.

Experiences

RWE Scientist Lead – Global Analytics & Medical Strategy

2024 - Present
AstraZeneca, Barcelona, Spain
  • Co-lead global medical strategy and evidence generation plans in close collaboration with Medical Affairs, Market Access, HEOR, and country affiliates to address key evidence gaps, optimize patient journey mapping, and accelerate launch readiness.
  • Engage proactively with key opinion leaders (KOLs) and external medical experts to align research initiatives with global medical needs, presenting real-world evidence at major scientific conferences and advisory boards.
  • Serve as the strategic partner for cross-functional Global Brand Teams, delivering data-driven medical insights to shape global brand tactics, value dossiers, and HTA/reimbursement strategy across priority assets.
  • Drive local medical affairs and affiliate excellence by providing strategic guidance, standardizing analytics frameworks, and upskilling regional teams to ensure consistent execution of global medical priorities.
  • Lead high-impact real-world data (RWD) projects using EHR and claims data to identify treatment patterns, unmet clinical needs, and underdiagnosed patient populations.
  • Manage multi-million Ex-US data acquisition strategies and external CRO partnerships, ensuring high-quality, on-time delivery of strategic scientific deliverables.

Machine Learning Solutions Architect

2022 - 2024
CSIRO, Sydney, Australia
  • Directed junior team members and led the end-to-end development of proteomics analysis platforms, focusing on automated feature extraction and synergy detection to advance precision medicine initiatives.
  • Architected VariantSpark, a cloud-based distributed ML tool for analyzing complex epistatic interactions; successfully developed polygenic risk scores for Cardiovascular (CV) risk, translating genomic complexity into actionable clinical predictors.
  • Lead a multi-modal data generation project to create high-fidelity synthetic datasets encompassing genetics, biochemistry, imaging (2D/3D), and clinical text.
  • Got granted a patent and lead the commercialization strategy for federated data generation.

R&D Scientist in Real-World Data

2018 - 2021
Novo Nordisk Foundation Center for Protein Research, Copenhagen, Denmark
  • Led epidemiology and real-world evidence (RWE) initiatives in Medical Dermatology, focusing on Hidradenitis Suppurativa (HS) and chronic inflammatory conditions to quantify disease burden, patient trajectories, and unmet clinical needs.
  • Architected Deep Learning (CNN) models for automated grading of diabetic retinopathy in large-scale biomedical datasets.
  • Executed longitudinal patient journey mapping and time-to-event mortality analyses using nationwide Danish health registries to stratify complex disease cohorts.
  • Authored scientific publications and technical reports in close collaboration with international clinical experts and key opinion leaders (KOLs) to inform clinical research and medical strategy.

Research fellow

2016 - 2017
Dana-Farber Cancer Institute, Boston, USA
  • Developed a tool to analyze protein sequences to devise critical amino acid pairs correlations within the same protein family. Those pairs were regarded as critically relevant for the protein structure and function and thus a key element to identify homologs.
  • JavaScript implementation of a webpage for protein alignment visualization (alignmentviewer.org).

Data Mining and Machine Learning Engineer

2016 - 2016
Arvato healthcare services, Munich, Germany
  • Provided comprehensive analysis for pharmaceutical and insurance clients utilizing PostgreSQL, Python, and R.
  • Optimized patient clustering models for Multiple Sclerosis (MS) based on longitudinal treatment history to improve understanding of disease progression.
  • Engineered a high-performance patient similarity scoring algorithm capable of processing and analyzing records for millions of individuals in a production environment.

Publications

This is a selection of my publications, for a more detailed list you can visit my google scholar profile.

  • Disease trajectories for hidradenitis suppurativa in the Danish population
  • Kjærsgaard Andersen, R., Jørgensen, I. F., Reguant, R., Jemec, G. B. E., & Brunak, S.
    JAMA dermatology, 2020
  • The temporal association of hyperhidrosis and its comorbidities – a nationwide hospital-based cohort study
  • Henning, M. A. S., Reguant, R., Jørgensen, I. F., Andersen, R. K., Ibler, K. S., Pedersen, O. B., ... & Brunak, S.
    Journal of the European Academy of Dermatology and Venereology, 2022
  • Optimizing UK biobank cloud-based research analysis platform to fine-map coronary artery disease loci in whole genome sequencing data.
  • Sng, L. M., Kaphle, A., O’Brien, M. J., Hosking, B., Reguant, R., Verjans, J., ... & Bauer, D. C.
    Scientific reports, 2025
  • Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
  • Siggaard, T., Reguant, R., Jørgensen, I. F., Haue, A. D., Lademann, M., Aguayo-Orozco, A., ... & Brunak, S.
    Nature communications, 2020
  • Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers
  • Burgess, M. A., Hosking, B., Reguant, R., Kaphle, A., O’Brien, M. J., Sng, L. M., ... & Bauer, D. C.
    Bioinformatics, 2025
  • Understanding inherent image features in CNN-based assessment of diabetic retinopathy
  • Reguant, R., Brunak, S., & Saha, S.
    Scientific Reports, 2021