Melissa Bime

Melissa Bime advises Talbot West on healthcare and clinical data. She came to the work from the bedside rather than from software.

She trained and practiced as a registered nurse in Cameroon. At eighteen she founded Infiuss as an online blood bank, connecting hospitals to supply they could not otherwise locate in time. That became Infiuss Health, a platform that runs clinical research in markets where the trial infrastructure taken for granted elsewhere does not exist. The company went through Y Combinator in 2021, and she was named a Cartier Women’s Initiative Fellow in 2018.

The work has centered on populations that are systematically underrepresented in clinical datasets, which is both an equity problem and a data quality problem. A model trained on a narrow population performs like one.

Her contribution to Talbot West engagements is provenance. In healthcare the difficult question is rarely which model to use. It is where a dataset came from, what consent covers it, how it was assembled, whether it can lawfully be used for the purpose proposed, and what its gaps will do to the output. Clinical training is what separates reading a dataset from knowing how it was generated.

She is engaged on healthcare and life sciences work where clinical data is in scope.