I was a curious child who loved exploring around by dis-/reassembling toys and household appliances. One day, I put a flashlight into a lamp socket instead of a broken bulb, sparking a small fire. Luckily, it extinguished itself rapidly. Even luckier, I learned a lesson: curiosity is powerful, but it must be guided by knowledge and strict respect for safety.

That mindset drove me to pursue a PhD in Neuroscience at EPFL. During this journey, I have extended the edges of science a bit within carefully regulated scientific contexts. Over the past 10+ years of designing experiments, analyzing complex data, and translating neuronal signals into interpretable results, my core professional values have become clear: meaningful work, integrity, curiosity, and empathy.

Throughout preclinical and clinical research projects, I have loved the work of digging into complex data to extract meaning from noisy data. More importantly, I love working collaboratively alongside multidisciplinary teams rather than working in isolation.

This is why I am transitioning into Clinical Evaluation and Regulatory Affairs. I view regulatory frameworks as essential safety guidelines, allowing medical innovation to happen without sparking the "fire" of my childhood.

I bring:
➤ Clinical Data Translation: structuring complex, multimodal clinical data into reproducible workflows and datasets for downstream analysis.
➤ Regulatory Knowledge: trainings in EU MDR/IVDR requirements and Good Clinical Practice (GCP-E6(R3)) to ensure ethical compliance.
➤ Data Integrity: an uncompromising commitment to ethical data handling, patient confidentiality, and scientific accuracy.
➤ Cross-Functional Collaboration: a track record of coordination among multidisciplinary teams, internal and external stakeholders for partnerships, sponsorships, and project alignments.

I am currently seeking opportunities in Clinical Evaluation and Regulatory Affairs, where I can use my analytical background and regulatory training to help bring safe, effective treatments to patients.

Professional Skills
Clinical Data Analysis, Traceability & Reproducibility, Experimental Design, In Vivo / Ex Vivo Models, Statistical Analysis (Python, R, SAS), Scientific Writing, Data Visualization, Cross-Functional Collaboration, Multidisciplinary Project Coordination, Ethics-Compliant Data Handling

Domain Knowledge
Regulatory Compliance (EU MDR/IVDR), Good Clinical Practice (GCP), Neuroscience, Preclinical Research, Clinical Research