Lasya Sreepada

Graduate Student

LasArtificial Intelligence in Biomedical Imaging Lab (AIBIL)
Center for Biomedical Image Computing & Analytics (CBICA)
Department of Radiology
Perelman School of Medicine
University of Pennsylvania



Educational Qualifications

PhD Student in Bioengineering, University of Pennsylvania expected 2025
B.S. in Neuroscience, computational track, Yale University 2019
Research Assistant / Collaborator at Center for Clinical Spectroscopy, Harvard Medical School; 2016 - present

Penn Memory Center (PMC) Scholar 

Research Summary

I am interested in exploring human neuroscience through interdisciplinary research & clinical practice. My work relies on medical imaging and machine learning to discover connections in the underlying pathologies and biochemical mechanisms across a range of neurodegenerative and psychological conditions. Currently, I focus on Alzheimer's Disease as well as Traumatic Brain Injury in professional athletes and military veterans. I leverage artificial intelligence and rich multivariate data to discover patterns and biomarkers that could aid early diagnosis, predict prognosis, and help develop targeted treatments in a precision medicine framework.

Publications/ Journals

Google Scholar