AI Research Scientist with 15+ years of experience spanning industry and academia. Combines expertise in Physics, Biology, and Computation to develop AI-driven solutions for complex biological challenges. Specializes in statistical modeling, multi-omics, and machine learning for human health, longevity, and drug discovery. Key contributor to the development and launch of Roche’s SBX high-throughput single-molecule nanopore sequencing technology, enabling ultra-rapid genomic analysis for personalized medicine.

Core competencies include:

Data Science | Data Engineering | Cloud Computing | Statistical Modeling | Signal Processing | Artificial Intelligence (AI) | Deep Learning | Machine Learning | Computer Vision | Natural Language Processing (NLP) | Large Language Models (LLM) | Computational Biology | Bioinformatics | Molecular & Cellular Biology | Assay Development | Instrument Development (HW & SW)