SELF-INTRODUCTION：

Dr. Shimin Shuai is currently an associate professor at the Department of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology (SUSTech). He received his BSc from Zhejiang University (ZJU), and his PhD from the University of Toronto and the Ontario Institute for Cancer Research (OICR). He then went to the European Molecular Biology Laboratory (EMBL) at Heidelberg and the European Bioinformatics Institute (EMBL-EBI) as an EIPOD4 Postdoctoral Fellow (Marie Skłodowska-Curie Actions COFUND). Since fall 2021, he became a group leader for the Computational Omics (COmics) Lab at SUSTech. His main research directions are computational biology, bioinformatics and genomics. He has published multiple high impact papers in related fields and his research has been cited for more than 1,600 times (Google Scholar, 2022.05).

EDUCATION:

· 2014.9-2019.11: Doctor of Philosophy (PhD), Department of Molecular Genetics, University of Toronto, Toronto, Canada (with Lincoln Stein)

· 2010.9-2014.6: Bachelor of Science (BSc), College of Life Sciences, Zhejiang University, Hangzhou, China

WOKRING EXPERIENCE:

· 2022.6-Present: Associate Professor, Department of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology (SUSTech), Shenzhen, China

· 2021.9-2022.5: Assistant Professor, Department of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology (SUSTech), Shenzhen, China

· 2020.10-2021.8: Joint Postdoctoral Fellow, European Bioinformatics Institute (EMBL-EBI), Hinxton near Cambridge, UK (with Ewan Birney)

· 2020.1-2021.8: EIPOD Postdoctoral Fellow (Marie Skłodowska-Curie Actions COFUND), European Molecular Biology Laboratory (EMBL), Heidelberg, Germany (with Jan Korbel)

· 2015.1-2019.11: PhD Researcher, Computational Biology Program, Ontario Institute for Cancer Research (OICR), Toronto, Canada (with Lincoln Stein)

HONORS AND AWARDS:

· 2021: National-level Talent of Shenzhen Municipality

· 2020: EIPOD4 Fellowship co-funded by Marie-Skłodowska Curie Actions

· 2019: Canadian Cancer Society Travel Award

RESEARCH:

1. Bioinformatics and computational biology

2. Association analysis for human diseases and genetics variants at all scales

3. Aberrant RNA splicing in human diseases

4. Disease ecosystem

5. Multi-omics data analysis and tool development for novel omics data

PUBLICATIONS：

1. Shuai S*, PCAWG Drivers and Functional Interpretation Working Group, Gallinger S, Stein LD* & PCAWG Consortium (2020) Combined burden and functional impact tests for cancer driver discovery using DriverPower. Nat. Commun. 11: 734–734

2. Shuai S, Suzuki H, Diaz-Navarro A, Nadeu F, Kumar SA, Gutierrez-Fernandez A, Delgado J, Pinyol M, López-Otín C, Puente XS, Taylor MD, Campo E & Stein LD (2019) The U1 spliceosomal RNA is recurrently mutated in multiple cancers. Nature 574: 712–716

3. Rheinbay E, Nielsen MM, Abascal F, Wala JA, Shapira O, Tiao G, Hornshøj H, Hess JM, Juul RI, Lin Z, Feuerbach L, Sabarinathan R, Madsen T, Kim J, Mularoni L, Shuai S, Lanzós A, Herrmann C, Maruvka YE, Shen C, et al (2020) Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. Nature 578: 102–111

4. Zhu H, Uusküla-Reimand L, Isaev K, Wadi L, Alizada A, Shuai S, Huang V, Aduluso-Nwaobasi D, Paczkowska M, Abd-Rabbo D, Ocsenas O, Liang M, Thompson JD, Li Y, Ruan L, Krassowski M, Dzneladze I, Simpson JT, Lupien M, Stein LD, et al (2020) Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks. Mol. Cell 77: 1-15

5. Suzuki H, Kumar SA, Shuai S, Diaz-Navarro A, Gutierrez-Fernandez A, De Antonellis P, Cavalli FMG, Juraschka K, Farooq H, Shibahara I, Vladoiu MC, Zhang J, Abeysundara N, Przelicki D, Skowron P, Gauer N, Luu B, Daniels C, Wu X, Forget A, et al (2019) Recurrent noncoding U1 snRNA mutations drive cryptic splicing in SHH medulloblastoma. Nature 574: 707–711

6. Feigin ME, Garvin T, Bailey P, Waddell N, Chang DK, Kelley DR, Shuai S, Gallinger S, McPherson JD, Grimmond SM, Khurana E, Stein LD, Biankin AV, Schatz MC & Tuveson DA (2017) Recurrent noncoding regulatory mutations in pancreatic ductal adenocarcinoma. Nat. Genet. 49: 825–833

7. ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium [including Shuai S] (2020) Pan-cancer analysis of whole genomes. Nature 578: 82–93

8. Carlevaro-Fita J, Lanzós A, Feuerbach L, Hong C, Mas-Ponte D, Pedersen JS, PCAWG Drivers and Functional Interpretation Group [including Shuai S], Johnson R & PCAWG Consortium (2020) Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis. Communications biology 3: 56–56

9. Paczkowska M, Barenboim J, Sintupisut N, Fox NS, Zhu H, Abd-Rabbo D, Mee MW, Boutros PC, PCAWG Drivers and Functional Interpretation Working Group [including Shuai S], Reimand J & PCAWG Consortium (2020) Integrative pathway enrichment analysis of multivariate omics data. Nat. Commun. 11: 735–735

10. Reyna MA, Haan D, Paczkowska M, Verbeke LPC, Vazquez M, Kahraman A, Pulido-Tamayo S, Barenboim J, Wadi L, Dhingra P, Shrestha R, Getz G, Lawrence MS, Pedersen JS, Rubin MA, Wheeler DA, Brunak S, Izarzugaza JMG, Khurana E, Marchal K, et al, PCAWG Drivers and Functional Interpretation Working Group [including Shuai S], Reimand J, Stuart JM, Raphael BJ & PCAWG Consortium (2020) Pathway and network analysis of more than 2500 whole cancer genomes. Nat. Commun. 11: 729–729