I am currently a postdoctoral fellow in statistical genetics and precision psychiatry, where my research focuses on why individuals with neuropsychiatric conditions like ADHD and autism face an elevated risk of developing neurodegenerative diseases such as ALS and Parkinson's as they age.
My background is in pregnancy drug safety, statistics, and causal inference. My doctoral thesis explored the benefits and risks of antiseizure medication use during pregnancy, utilizing registry-based pharmacoepidemiological surveillance and causal modeling.
Additionally, I contribute to studies on preschool health, cardiovascular epidemiology, and the advancement of causal inference methods.
I have extensive teaching experience in biostatistics across various programs in public health and medical education. In addition to lecturing in biostatistics and statistical methods, I frequently serve as a guest lecturer on topics such as causal inference and applied statistical analysis.