Using recently-developed machine learning techniques, Reverie Labs has developed best-in-class structure-based predictive models for potency and ADME/PK properties of small molecules. Reverie Labs also develops custom models based on its partners' own datasets.
Reverie Labs has developed a multi-objective molecular optimizer that applies evolutionary algorithms to propose new molecules that optimize for many ADME/PK properties simultaneously while maintaining potency and synthesizability.
S.B., Computer Science & Molecular Biology
Massachusetts Institute of Technology