Medical language models to automate healthcare operations
Healthcare providers face massive operational overhead, including time-consuming prior authorizations for critical drugs, due to manual review of EHR data.
Latent builds medical language models that analyze EHR records to surface relevant information and streamline drug prior authorization workflows.
Enterprise health systems and hospital operations teams that handle authorizations and related administrative workflows.
Co-founder at Latent. Repeat founder.
Co-founder at Latent. At Stanford, Sri investigated molecular binding patterns responsible for adaptive immunity and built deep RL robots with publications at ICML, ICLR, and Nature. He also operationalized language models for the largest financial institutions while on the founding team of Hebbia.




