Harry Clifford
Product Lead for Digital Biology at NVIDIA
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Harry leads the product team for NVIDIA's digital biology frameworks and SDKs. This includes products such as BioNeMo Framework, for building AI models in drug discovery, and NVIDIA Parabricks, for accelerated genomics analysis on GPU. Harry’s background is in bioinformatics and functional genomics, including a PhD from the University of Oxford, post-doctoral roles at the University of Cambridge and in the biopharma industry, and entrepreneurial experience in the techbio sector.
Accelerated compute and AI in genomics
Genomics is a big-data field driven by the ever-improving speed and cost of genomic sequencing. This requires more and more computation to address the data deluge and improve methods for understanding and interpretation, as the field continues to develop novel methods for interrogating the human genome.
Technologies ranging from short- and long-read sequencing to single cell and spatial omics are all producing vast datasets and new challenges for computational biologists.
Join this session to hear about how NVIDIA is addressing these challenges by powering high throughput analysis and AI in omics.
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