Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas spanned by multiple horizontal data pipelines, platforms, and algorithms. We are unifying data science and data engineering, showing what really works to run businesses at scale.
The closing panel of Data By the Bay brings together the topics of the last day -- Life Sciences and UX, DataViz -- making connections to all the themes of the conference. How can we reeingineer our lives with data? What can we see to make our lives better, and how should we see it so we can act upon what we see? Come join the dicussion!
I am a co-founder, and bioinformatics lead engineer at Driver Group. We are leveraging an individual cancer patient's genomic data to provide that patient with the best therapeutic recommendations available. Additionally we use the data that we collect to bring the most promising new cancer therapies to market.
Staff Ontology Engineer, QIAGEN Silicon Valley (formerly Ingenuity Systems)
Biomedical ontology developer for eight years, focusing on knowledge models for diseases, gene products, and genetic variants. NLP projects include development of word-sense disambiguation approaches to identify genes discussed in biomedical publications, and ontology-leveraged scientific article classification by topic. Before QIAGEN, Jeff studied molecular biology at Princeton (Ph.D.), and did a postdoc in protein structure/function at U.C... Read More →
Using data and technology in health care to improve access, quality and care. |
Predicting quality, treatments, outcomes in health care. |
Algorithms to recommend care options or providers based on a person's symptoms, conditions, needs.