Join Biocom for a lunch and learn hosted by IBM Systems Group. From the world’s fastest genomics pipeline to largest variant database, we’ll share the cutting-edge advancement to accelerate and scale precision medicine workloads — preprocessing, postprocessing and data sciences/AI, We’ll highlight three particular challenges in making genomics platform “smarter”:

1) “autonomous pipeline” — end-end automation of genomics workflow with full provenance tracking;

2) “radar on data” — metadata tagging, indexing and searching to enable efficient management and access to billions of data objects;

3) multi-cloud deployment from on-premise to public clouds. We’ll showcase respective prototypes for full bioinformatics pipeline, automated PHI data detector and a cloud-enabled RNAseq pipeline.

The underlying reference architecture for high performance data and AI (HPDA) is orchestrating world’s largest supercomputer (Summit) and can also be implemented on a much smaller scale to power a lab, company or institution in the next frontier of precision medicine.

Agenda: 
11:30am | Registration & Networking  (Lunch Provided)
12:00pm | Presentation and Q&A
1:00pm   | Networking

Speaker: Frank Lee, PHD

Dr. Frank Lee is the Healthcare and Life Science industry leader for IBM Systems Group with over twenty years’ experience in the scientific research and information technology. His work includes the creation of industry reference architecture and its implementation as HPC, cloud, big data and AI platforms for dozens of clients and partners worldwide. As an advocator for the transformation of the industry towards precision medicine, Frank has spoken in dozens of conferences and published in IBM System Journals, Redbook, research paper and HIMSS report. When encountering gaps of technologies, Frank led charges of innovation with inventions in metadata and provenance management as a co-inventor IBM Spectrum Discover software and underlying technologies. Frank also brings in subject matter expertise on genomics, an experience that includes participation in the Human Genome Project as a research associate and his training as a molecular biologist at Washington University.