Aditya Nanda

Biography
Aditya Nanda is cofounder and Chief Science Officer of dbTwin. His work focuses on synthetic data methods for large-scale clinico-omics datasets and on benchmarking their scientific utility, including dbTwin’s open benchmark of synthetic RNA-seq cohorts across cancer and non-cancer datasets. Before founding dbTwin, Aditya was a postdoctoral fellow and research faculty member at Vanderbilt University, where he developed synthetic data techniques for large biomedical datasets spanning fMRI, ECoG, and calcium imaging. His research has been published in NeuroImage and Cell Reports.

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Talk
Synthetic Cohorts: Share Omics Data, Not Patients
Clinico-omics data sharing stalls for months because of compliance friction. dbTwin generates synthetic clinico-omics cohorts within the owner’s environment, so hospitals, consortia, and pharma can share data in days while real patient records stay put. In public benchmark, our synthetic data recapitulates most translational analyses on real data.

Large-Scale Data Solutions Showcase:
dbTwin
dbTwin develops solutions for turning privacy-locked clinical and molecular data into synthetic datasets that biopharma entities can access in minutes, not months.