Data Scientist | ML & AI applied to healthcare, biology & drug discovery
I'm at the intersection of Machine Learning and Life Sciences. My work spans deep learning model development, genomic data pipelines, and predictive modeling applied to healthcare and drug discovery, with a growing interest in medtech and computer vision for medical imaging. I'm drawn to problems where the data is messy, the stakes are high, and a well-tuned model can make a real difference.
ML & deep learning — model design, training, fine-tuning, from CNNs to transformers
Computer vision — applied to medical imaging and biological image analysis
Genomics & structural bioinformatics — sequence modeling, epitope prediction, NGS pipelines
Drug discovery & precision medicine — computational target identification, molecular data analysis
Clean, reproducible science — modular pipelines, HPC/SLURM, version-controlled experiments
Languages
ML / DL Frameworks
Data & Viz
Data Science
MLOps / Data
Bioinformatics
Infrastructure
