Precision Medicine for Children's Health
SensOmics invents cutting-edge technologies to early detect pediatric diseases.
See Early, and Act Early
SensOmics integrates genomics with clinical informatics, electrical engineering and artificial intelligence.
We construct molecular networks to identify autism genes.
We invent proprietary machine learning algorithms to specifically identify autism-associated mutations.
SensOmics-X
Disruptive technologies underway
Change the world faster than you think
No Limit, No Boundary
Michael Snyder, Ph.D.
Dr. Snyder is the world leader in genomics and precision medicine. He chairs the Dept. of Genetics at Stanford University. He is also the Director of Stanford Center for Genomics and Personalized Medicine.
Zhaolei Zhang, Ph.D.
Dr. Zhang is a well-known computational biologists, and is Professor of Molecular Genetics and Computer Sciences at University of Toronto.
Jingjing Li, Ph.D.
Dr. Li is an Instructor at the Dept. of Pediatrics, Stanford University. He works on genomics, autism and neonatal medicine. He received training from Stanford Graduate School of Business, and is a recipient of the prestigious Banting Fellowship from the Government of Canada.
Jason Zhu, M.Sc.
Mr. Zhu is a senior software engineer and entrepreneur in Silicon Valley. He received his B.Sc. from Zhejiang University in China, and his graduate degree from North Carolina State University.
The Children's Hospital
Zhejiang University School of Medicine
The 3rd largest children's hospital in China
The Children's Hospital, Shenzhen
The best children's hospital in Guangdong Province, China
Bioinformatics Engineer
Sequencing and related analysis
Software support for downstream analysis of high-throughput sequencing.
Research Scientist
High-throughput experiments
Experimental support for clinical studies
Android / iOS Systems Engineer
Front- and back-end systems development
System development for UI, cloud communication, etc.
Hardware Engineer
Medical device development
Hareware infrastructure for portal medical devices.
Artificial Intelligence Engineer
Big data, big mind
Pattern recognition from clinical data
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