• Digital-Health-Conference-2020

Invited SpeakersProfile Details

Prof. Mo Li
Prof. Mo Li Mo Li received his Ph.D. in cellular biology from the University of Georgia.


Mo Li received his Ph.D. in cellular biology from the University of Georgia. He did postdoctoral training at the Salk Institute, where his research interests focused on somatic cell reprogramming and genetic correction of human monogenic diseases. He pioneered targeted gene correction of globinopathies, including sickle cell disease and beta-thalassemias. His work on the safety of genome editing technologies is highly cited. Mo Li joined King Abdullah University of Science and Technology (KAUST) as Assistant Professor of Bioscience in 2017. His current research is focused on understanding the molecular mechanisms that maintain the proper form and function of the human body. Stem cells are both a central player in the regeneration process and an indispensable tool for regenerative medicine research. His research program is built upon a multidisciplinary platform that integrates stem cell biology with genome engineering to gain a holistic understanding of regeneration in its broadest sense, while keeping a commitment to fulfilling the translational promise of stem cell research. Dr. Li has been invited to give talks at multiple international meetings, including The Future of Medicine Starts Now (Fondazione Internazionale Menarini, Genoa, Italy), Cutting-Edge Biological Science and Technology Encounter (Tokyo, Japan), and Cold Spring Harbor Laboratory Nuclear Organization & Function meeting. He is a member of the International Society for Stem Cell Research, Sigma Xi, AAAS and European Society for Experimental Hematology. 

All sessions by Prof. Mo Li

  • Day 1Monday, January 20th
Session 2 : Digital Health and Wellness (Chair Prof. Xin Gao)
3:20 pm

New Nanopore Sequencing Strategies for Accurate, Accessible and Accelerated Genomic Diagnosis

The Oxford Nanopore sequencing technology is unique in its ability to deliver ultra-long single-molecule reads of DNA and RNA. Nanopore sequencing can be done in real-time on a portable device, which makes it an attractive platform for personalized genome medicine.

The long reads of nanopore sequencing have been exploited in scaffolding genomes, especially in repetitive DNA, and in the detection of structural variations in the genome. However, the low raw-read accuracy of nanopore sequencing hampers its application in genomic diagnosis.

We have developed several new strategies that use targeted locus amplification, single-molecular consensus sequencing, and deep-learning-based data analysis tools to enable rapid and accurate determination of single nucleotide variants and structural variants at subclonal levels. We d these technologies to rare mutation detection and analysis of genome integrity after CRISPR genome editing.

Building 19, Hall 1 15:20 - 15:45 Details