SBX-D data analysis webinar

Jaedon drives the commercial strategy and product roadmap for both sequencing platform management software, and SBX analysis tools, including the SBX Optimized Open-Source (XOOS) analysis tools. With over 10 years of NGS experience across a broad range of disciplines, he has brought a multi-faceted and holistic approach to product management, guiding multiple projects within the program through the research and product development phases to ensure the delivery of robust, high-performing, customer-centric software and data analysis tools.

Prior to joining Roche in 2023, Jaedon held multiple roles at Illumina, contributing to several NGS product launches, most recently as a product manager supporting the commercialization of the NovaSeq X series. He holds a B.S. in Biomedical Engineering from Boston University.

Mahdi Golkaram is the Director of Bioinformatics Data Science at Roche, where he leads algorithm development for the secondary analysis of Sequencing by Expansion (SBX) data. He played a key role in the successful development and launch of SBX, a next-generation sequencing technology, and led the creation of XOOS—a free and open-source bioinformatics analysis suite tailored for SBX.

By integrating cutting-edge bioinformatics algorithms and data-driven approaches, including deep learning and artificial intelligence, XOOS enables SBX users to detect genetic alterations from sequencing data to support a wide range of applications. These span genetic disease, oncology, and infectious disease, through multi-omics whole genome and targeted sequencing with both SBX simplex and duplex technologies.

John Mannion leads a global team of computational scientists and engineers, driving informatics research and development across Molecular Labs instrument product areas. Within sequencing, Mannion’s teams are responsible for development of analysis pipelines on accelerated hardware to process high throughput genomics data on edge compute, as close to the source of data generation as possible. Additionally, he and his organization provide informatics support for a broad set of sequencing system technology development activities, working in close collaboration with chemistry, instrument, and computational biology R&D groups to advance Roche’s Sensor Array and SBX Sequencing Chemistry.

Prior to joining Roche in 2014, Mannion held multiple roles within research at Agilent Technologies Labs.He holds a bachelor’s degree in physics from Princeton University and a doctorate in applied physics from Cornell University.

Andrew Carroll is product lead for the genomics team in Google Research, where he coordinates the development of deep learning methods that operate on genomic data and in combination with other modalities such as imaging. The genomics team develops several widely used open-source methods including DeepVariant, DeepSomatic, and DeepConsensus.

Prior to joining Google, Carroll was chief scientific officer at DNAnexus. He led a team that developed and operated platforms powered by DNAnexus, including PrecisionFDA, and the St. Jude Pediatric Cancer Cloud. His team supported the analysis of some of the first and largest cloud genomics projects, including the 500,000 UK BioBank exome cohort and the NIH consortia projects of TOPMed, CCDG, and CHARGE.

Chen Zhao leads a global team of computational biologists and software engineers at Roche Diagnostics. His team has broad expertise in both PCR and sequencing technologies, with backgrounds in bioinformatics, software, machine learning, data science, and generative AI.

During Zhao’s tenure at Roche, he and his team have helped drive the research and development efforts of Roche’s SBX sequencing platform, focusing on secondary analysis algorithms and application development. His team is also responsible for delivering production-grade, highly scalable, and accelerated open-source software. In addition to sequencing, Zhao and his team are also responsible for Roche’s Cobas x800 and Liat platforms when it comes to multiplexed PCR assay design and regulatory submission. Finally, Chen's team also provides bioinformatics support for the CLIA lab and collaborates with pharma partners on various MRD and PCR tests.

Prior to joining Roche in 2022, Chen held multiple roles at Illumina where he led the oncology bioinformatics team to develop various tissue and liquid biopsy products (e.g., TST170, TSO500). Chen holds a B.A. in Electrical Engineering from Beijing University of Posts and Telecommunications and a Ph.D. in Electrical and Computer Engineering from Texas A&M University.