Curriculum Vitae

Market Access and health data professional with a Master’s degree from ETH Zurich and a track record spanning pharmaceutical market access, data science, and biomedical research. Currently at GSK, I develop health economic models and reimbursement dossiers within the Swiss regulatory framework. I combine cost-effectiveness analysis, data engineering, and strategic communication to support evidence-based access decisions.

Experience

Market Access Manager

GSK

02/2026 – Present

Baar, Switzerland

  • Fitted health economic models (cost-effectiveness) supporting reimbursement dossiers within the Swiss regulatory framework
  • Authored and submitted reimbursement dossiers aligned with HTA requirements and Swiss payer expectations
  • Built Power BI dashboards to visualize pricing, reimbursement flows, and insurer billing data for internal decision-making
  • Optimized insurer reimbursement claim processing by transforming heterogeneous insurer datasets into standardized upload structures, reducing manual processing time by ~80%
  • Automated data transformation and validation workflows using Python scripting
  • Collaborated with cross-functional teams including Medical, Commercial, and Finance to align access strategies
Market AccessCEAHTAHealth PolicyReimbursement StrategyArticle 71SQLPower BIPython

Health Data & Personalization Modeling Lead

More Life

10/2025 – Present

Zurich, Switzerland

  • Designed the foundational architecture of a biomarker-driven health personalization framework
  • Structured interval logic and scoring systems integrating laboratory biomarkers and questionnaire inputs
  • Defined module prioritization and pricing logic for scalable, individualized health recommendations
  • Developed YAML-based evidence frameworks enabling automated health insight generation via LLMs
Data ModelingPersonalization AlgorithmsSystems DesignLLM Prompt EngineeringFigma

Market Access Intern

Johnson & Johnson Innovative Medicine

04/2025 – 10/2025

Zug, Switzerland

  • Built a comprehensive SL database (2011–2025) in Python via XML parsing as the analytical foundation for pricing and limitation analyses
  • Developed a Power BI dashboard visualizing absolute and relative price changes and their drivers; applied during the three-year review cycle
  • Analyzed European pricing frameworks using Navlin and Swiss SL data; replicated and methodologically validated publicly available drug pricing claims
  • Created an HTML-based tool for tracking changes in limitation texts, improving transparency over the reimbursement framework
  • Contributed to stakeholder narratives and internal pricing strategy development across cross-functional teams
Market AccessHealth PolicyHTARegulatory AnalysisSQLPower BIPython

Student Assistant: Anatomy Collection

ETH Zurich

04/2024 – 03/2025

Zurich, Switzerland

  • Created Python pipelines for metadata processing and automated GIF generation, reducing manual media processing time by 70–80%
  • Digitized and categorized legacy anatomical inventory for structured database integration
PythonWorkflow AutomationData ProcessingImage Automation

Data Science & AI Intern

PostFinance

09/2023 – 03/2024

Zurich, Switzerland

  • Developed a predictive acquisition model for the YUH neobank product, identifying high-propensity customer segments
  • Built features using PySpark pipelines and created custom SQL data marts for downstream analytics
  • Designed Power BI performance dashboards to monitor model output and business KPIs
Predictive ModelingPySparkApache SparkSQLPower BIFeature EngineeringPython

Research Assistant: Chromatin Biomarkers

Paul Scherrer Institute

03/2023 – 10/2023

Villigen, Switzerland

  • Applied machine learning to classify chromatin organization patterns in diseased vs. healthy cells using synchrotron imaging data
  • Conducted image preprocessing, segmentation, and unsupervised feature analysis in PyTorch
Cell BiologyRadiomicsMedical ImagingPyTorchDeep LearningPython

Research Project: Quantifying MRI-based Radiotherapy Response

ETH Zurich & Schulthess Klinik

09/2022 – 12/2024

Zurich, Switzerland

  • Developed a deep learning framework to distinguish pre- and post-radiotherapy MRIs using radiomics, clustering, and generative diffusion models (Master Thesis)
  • Trained a classifier-guided DDIM to synthesize post-treatment MRI from pre-treatment input, validated by feature-based classification performance and UMAP embeddings
  • Demonstrated improved separability of treatment states through synthetic harmonization, suggesting utility in pediatric clinical trial data augmentation
PythonPyTorchRadiomicsMedical ImagingGenerative AITransfer Learning

Teaching Assistant: Genetics & Cell Biology

ETH Zurich

03/2022 – 06/2023

Zurich, Switzerland

  • Supported courses: "Genetics and Genomics" and "Molecular Genetics and Cell Biology"
  • Supervised 30+ students; prepared, delivered, and graded assignments and contact sessions
TeachingCourse DesignMolecular Biology

Patient Care Attendant

Spital Bülach

03/2022 – 12/2023

Bülach, Switzerland

  • Assisted patients with basic care routines during night shifts and supported medical staff during high-workload periods
Patient SupportCommunicationHealthcare Environment

Various Roles

Zurich, Switzerland

2016 – 2021

Zurich, Switzerland

  • FIFA World Museum: Security & Visitor Experience (2+ years)
  • PwC: Personnel Planning Assistant (2019)
  • Migros: Order Management Assistant (2018–19)
  • Allergan: Regulatory Affairs Admin (2016)
  • SONY: Commercial Apprenticeship (2010–2013)
Customer ServiceAdministrationRegulatory Affairs

Education

M.Sc. Health Sciences and Technology

ETH Zurich

09/2022 – 12/2024

Major in Molecular Health Sciences. Training specialists who apply science and technology to improve human health, spanning disease prevention, diagnosis, and therapy.

Thesis: Conducted at the Biomedical Data Science Lab (BMDS Lab), ETH Zurich / Schulthess Klinik. Subject: "Image-based predictions of radiotherapy response in pediatric diffuse midline glioma."

B.Sc. Health Sciences and Technology

ETH Zurich

09/2019 – 07/2022

Interdisciplinary program at the interface of engineering and medicine. Focused on molecular biology, physiology, medical physics, and informatics.

Skills

Market Access & Health Economics

Market AccessCost-Effectiveness AnalysisHTAHealth PolicyReimbursement StrategyArticle 71Pricing AnalysisFOPH Negotiations

Health Data & Modeling

Predictive ModelingGenerative AILLM Prompt EngineeringData ModelingStatistical Analysis

Technical Stack

PythonSQLRPower BIClaude CodePySparkPyTorch

Biomedical Background

Medical ImagingRadiomicsCancer ResearchMolecular Disease Mechanisms

Languages

English

Native

German

Native

French

Basic