Minh-Ha Nguyen

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.

// liteodyssey.org // preprint on arXiv

Evaluating models as experiments

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?

// meta-analysis published in npj Digital Medicine

Latest Posts

  • Finasteride and Depression: Recalibrating the Warning considering New Evidence

    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.

    15 min read