Data Scientist

I am a researcher turned data scientist with a PhD in cell biology and an interdisciplinary background that bridges life sciences, computation, and applied machine learning. Over more than five years, I have worked with high-throughput imaging and structured microscopy datasets, developing automated workflows and Python-based pipelines that improve image quality, accelerate analysis, and enable scalable experimentation. My scientific training gives me a strong foundation in statistical reasoning, experimental design, and evidence-based problem solving, while my data science experience focuses on building reproducible models and extracting meaningful patterns from complex data. I have applied machine learning and generative AI methods to simulate user behavior and validate results through robust statistical evaluation, collaborating across disciplines to turn data into actionable insights. I am motivated by opportunities that connect analytical rigor with creativity, where data-driven approaches can inform discovery, innovation, and strategic decision-making.