Speaker Profile

Ph.D., Vice President and Chief Technology Officer, Intelliseq

Biography
Dr. Marcin Piechota is a highly educated and experienced bioinformatician with a great knowledge of implementations of novel algorithms and informatics methods into human genomics. He is an engineer in computer science, Java Sun Certified programmer, and SpringSource Certified Professional. Expert in R, Java, Bash and Python. He has started his journey to genomics as a young scientist working in the Institute of Pharmacology Polish Academy of Sciences in Krakow. For several years, he was involved in the research focused on transcriptomics in mouse models of addiction. He was a leader of two scientific projects dedicated to transcriptomics and Chip-seq analyses. The results of his studies were published in Nature, Genome Biology and Stroke. Co-founder of Intelliseq, responsible for the design and development of NGS analytical workflows. His goal is to optimize software development process to improve testability, reliability, reproducibility and portability of genomic workflows and pipelines. At Intelliseq, he leads a multidisciplinary team of computer scientists, bioinformaticians, biologists and physicians.


 Session Abstract – PMWC 2020 Silicon Valley

Track 6 - January 22 11.15 A.M.-1.15 P.M.,Track 7 - January 24 2.30 P.M.-3.45 P.M.


The PMWC 2020 Genomic Profiling Showcase will provide a 15 min speaking opportunity for selected companies working with the latest technologies in nucleic acid sequencing such as NGS, providing instrumentation for genomic sequencing, and offering direct to consumer services. These companies will share their innovative products and services to an audience of leading investors, potential clients and partners. The Genomic Profiling Showcase will exhibit the latest innovations in methods and instruments used for DNA/ RNA sequencing to ascertain the genomic and transcriptional profile of a person in order to understand why some people get certain diseases while others do not, or why people react in different ways to the same drug. This information is also being used to develop new ways to diagnose, treat, and prevent diseases, such as cancer.

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