I'm a PhD candidate in Epidemiology at Vanderbilt, working in two worlds that keep
turning out to be the same one: medication safety, and the evaluation of large language
models. Right now NASA funds me to ask whether chronic low-dose radiation raises the risk
of Parkinson's disease, in preparation for a future Mars mission.
Research
Medication safety in the real world
Which drug-safety signals in large healthcare databases are real, and which are
artifacts of study design. Recent work: the depression warning on 5-alpha reductase
inhibitors, and their metabolic effects across national databases.
liteOdyssey — AI that diagnoses like a clinician
A system that reasons from a patient's symptoms toward a ranked rare-disease diagnosis
— disease and causal gene — the way a geneticist would, judged against curated ground
truth and blinded physician adjudication.
The method that connects the two: treat a benchmark like an experiment — the model is a
population, the prompt a treatment you assign, the score an estimator with error, not a
fact. Is it powered? Representative? Measured against a reliable standard?
Four independent lines of evidence — meta-analysis, Mendelian randomisation, and two pharmacovigilance databases — converge on the same conclusion: the finasteride-depression signal is an artefact of study design and stimulated reporting, not pharmacology. The warning itself may be causing more harm than the risk it describes.
A deep dive into my meta-analysis on 5-alpha reductase inhibitors and depression risk. Why some studies overestimated the risk by 200% and what this means for patients taking finasteride or dutasteride.
New evidence from South Korea's national health database sheds light on whether finasteride and dutasteride affect diabetes risk. Using robust active-comparator methods, we found minimal to no increased risk.
Does finasteride affect blood sugar control in men with type 2 diabetes? Using New Zealand's national pharmaceutical data, we compared long-term outcomes between finasteride and tamsulosin users.