Yongsheng Huang, Solutions Architect at Databricks

Yongsheng Huang

Solutions Architect, Databricks

YongSheng Huang is a resident solution architect at Databricks. His responsibility include enterprise account service and strategic planning for technical solution products in health and life sciences. Prior to Databricks, he served as a senior research scientist at Merck & Co. He was a analytics lead on advanced analytics and statistical algorithms development for drug discovery in immune disorders, oncology, and immuno-oncology. In addition, he had worked as a senior business intelligence engineer at Amazon Web Services and responsible for statistical fraud prevention, anomaly detection, and business Yong received his PhD from the University of Michigan in 2010 with focus on statistical learning theories and applications in health and diseases.


Identify Disease-Associated Genetic Variants Via 3D Genomics Structure and Regulatory Landscapes Using Deep Learning Frameworks

Whole genome sequencing (WGS) has enabled us to quantify human genomic variation at whole genome scale. This has profound impact on improving our understanding of human diversity, health, and diseases. One promising application of WGS… Read more