As a scientist and engineer with 8+ years of experience post-PhD, I have designed and implemented robust computational and experimental pipelines that generate, process, and analyze biological data at industrial scale with stringent quality control measures. My leadership experience spans both a leading research institute and an early-stage startup, where I advanced research programs through innovative multimodal analysis and modeling of multiplexed imaging and next-generation sequencing (NGS) data, with a focus on single-cell and spatial 'omics. I bring deep knowledge of data science, software engineering, bioinformatics, and systems biology modeling, and thrive working as a contributor on a diverse team of scientists, engineers, and other stakeholders. I have strong programming fluency in Python, C++, Git, Linux/Unix environments, and Cloud/HPC.