Sabera's research focuses on neuroengineering custom treatments. In other words, she builds machine learning models to extract neural information and synthesize specialized treatments for patients with neurological disorders. Using computer science and artificial intelligence, Sabera is finding new ways to make data from implanted neural electrodes more useful to patients, clinicians, and researchers. Her current research focuses on spotting patterns in data from Parkinson's and epilepsy patients' electrodes. She then uses these patient-specific insights not only to build generalizable models that benefit the entire patient population but also deliver individualistic treatments. Before Caltech, Sabera was most recently at the Chan Zuckerberg Biohub where she established the neuroengineering research initiatives and conceived the Biohub's first Neuroengineering Symposium. Before working at the Biohub, Sabera graduated from Stanford University with two Bachelor's of Science with Honors in electrical engineering and biochemistry.