My work focuses on identifying etiological biomarkers of chronic diseases, neurological disorders, and psychological wellbeing. I am passionate about combining machine learning and artificial intelligence techniques to develop predictive, preventative, and precision medicine for treating or alleviating chronic diseases.
Many chronic diseases such as Alzheimer’s disease, cancer, and mental health disorders are easier to treat when detected early. Through my research, I hope to advance the creation of biomarker screening, vaccines, and tailored treatments.
I have presented my research at notable conferences including the American Public Health Association Annual Meeting & Expo, the IEEE Engineering in Medicine and Biology Conference, and Stanford School of Medicine’s Maternal & Child Health Research Institute Symposium.
I have several hobbies including powerlifting (CT: 1,038lbs — deadlift: 423lbs, squat: 365lbs, and bench: 250lbs) and art.
Recently
Presidential Leadership Fellow (2026)
Uncovering complexities of societal challenges, identifying impacts of these challenges, and evaluating evidence-based solutions.
Joint Research Scholar (2023-present)
Developing effective methods to discover, enhance, or develop predictive, preventive, and precision medicine for treating or alleviating chronic diseases.
Machine Learning & Developmental Neuroscience Researcher (2021-present)
Developing machine learning models to identify and compare sex-specific brain regions in preadolescents and adolescents.