As a Senior Computational Biologist, I work at the intersection of biology research and AI/ML model development to build scientific products and scalable computational workflows for biomedical research. I address biological questions through applying models and developing computational workflows, working closely with teams of scientists, engineers, and product staff. My responsibilities include partnering with cross-functional teams, working with community researchers and external partners, making recommendations to product teams, and designing benchmarking and evaluation studies. I focus on ensuring our products are scientifically valid and usable.

As a postdoctoral researcher, my focus was on computational biology, particularly examining the diverse functions of reactive astrocytes in neurodegeneration. I explored complex biological systems using computational and statistical modeling techniques. My research aimed to analyze large omics datasets to gain insights into genetic mechanisms and pathways, with an emphasis on neuroscience and immunology

As a graduate student, I worked on several projects focused on molecular biology and transcriptomics. One project examined glial cells in the spleen and their role in neuroimmune communication during CNS injury. I designed experiments, analyzed data, and presented the findings at scientific conferences.

During my internship, I gained practical experience in data science and neurology. I explored GABA’s role in decision-making, created MATLAB tasks, and conducted fMRI scans. This experience laid a strong foundation for my career in neurobiology and computational science.