Aaryan Shah

Aaryan Shah is a skilled professional in the fields of data science and biomedical research, currently serving as a Research Assistant at Stanford University School of Medicine in the Gevaert Lab, focusing on multi-omics data fusion and algorithm development. Aaryan’s experience includes predictive modeling for spine surgery outcomes at the Neurosurgery AI/ML Lab and trial recruitment for a bispectral electroencephalogram (BSEEG) device at the Shinozaki Lab. Aaryan has also held notable positions such as Engineering Intern at Amgen, AI Fellow at R42 Group, and Product Lead at Spot Health, developing data processing pipelines. Additional roles included a Growth & Strategy Intern at Syntegra and a Research Fellow at Harvard Medical School Center for Bioethics, where Aaryan conducted meta-analysis on Alzheimer's disease therapies. Aaryan holds a Bachelor's degree in Computer Science, with a Computational Biology track, and a Master of Science in Biomedical Data Science from Stanford University. Early experience includes working as a Caregiver Assistant during the COVID-19 pandemic.