Integrating Human Genetic Data to Help Drive Drug Discovery: Elastic @ Merck

As genome sequencing’s costs have dramatically fallen, scientists have been awash in genetic data for novel research – but the existing tools and methods for analysis were not scaling well in terms of data size and harmonization, and they are also tedious, manual, and require a significant amount of expert integration.

Daniel and Bhasker will share Merck’s journey with Elasticsearch, which has enabled them to harmonize a data ingestion pipeline and create a universal coordinate system for genetic variants as a backbone to help scientists uncover new insights on human genetics across a broad spectrum of diseases (from cancers, alzheimer’s, diabetes), and to aid in the discovery and validation of new therapies.

Bhasker Bokuri

Bhasker Bokuri is currently a software engineer in Informatics IT Scientific computing team @ Merck Research Lab’s where he builds data warehouse portals for scientists that will help in target identification in early discovery for biologists.

Daniel Myung

Dan Myung is a senior engineer on Merck Research Lab's Scientific Computing team. His focus is building solutions for scientists to use thanks in early discovery and target identification, specifically supporting geneticists, biologists, and pharmacologists. The team builds web applications, search/collaboration portals, and data engineering/data science pipelines for researchers. Prior to wrangling the wild and varied data of the pharma world, Dan developed open-source software for frontline health workers in low-resource settings. It would be safe to say that he finds calm in taming the chaos of messy data.