Shanshan Z

• Working in China Compound Team to design, develop, and execute compound development strategy in china • Develop and maintain professional relationships with key internal and external stakeholders, cultivate a cohesive, motivated, and cross-functional high-performing team to drive clinical innovation

• As a lead translational scientist, extract biologically, clinically, and therapeutically meaningful insights from the proprietary and publicly available biomedical data for drug discovery and development, aiming to turn them into interventions that could improve the health of individuals (e.g. a genetic-based patient stratification biomarker for a Ph2a trial) • Lead the collaboration with the Tohoku Medical Megabank Organization (ToMMo, the largest UK Biobank like RWD database in Japan) in Neuroscience for understanding the unique characteristics of relevant populations to optimize clinical development strategy for ensuring successful development and launch of related drugs in Japan and Asia market • Enhance the transition from biological data to actional insights by achieving excellence of data analytics platform and empowering our scientists in their translational research; lead several data platform buildup projects. • Enhance team's capabilities in data analytics and platform by creating a good practice of assessing therapeutic targets using available molecular data, establishing a pipeline for the haplotype analysis, and building and automating a flowchart for the genetic race difference analysis • Build and maintain professional relationships with key stakeholders across global/regional/local Data Science, Discovery (biology, biomarker), population genetics, computational toxicology, and development teams

• A group leader (2 direct reports) in Data Science, CNIBR. Sitting member in extended Liver Leadership Team, providing department insights and reviewing project dashboard regularly; Bioinformatics Coordinator for CNIBR translational research center • In-house or publicly-available high throughput data integration and mining to identify potential targets or PD/predictive/diagnostic markers (some of them were entering in-vivo pharmacological validation), characterize MOAs, seek new indications, and provide support for translational research • Provide bioinformatics support for oncology/liver projects and clinical studies, including providing guidance in designing and implementing NGS solutions, analyzing omics data, and interpreting results • Collaborate with global colleagues to establish, standardize and enhance in-house analysis capabilities for various NGS data, such as WGS/WES, RNA-Seq, ChIP-Seq, MeDIP-Seq, scRNA-Seq, shRNA screen data, and SOMALogic data, etc. • Work closely with biologists and informatics team to deliver useful bioinformatics tools; one of the tools he is in charge of has been well recognized by the internal research community (then-the-only-application to be transferred to the global, along with three key projects) • Award: Novartis Equity Award (2016), Fusion Team Award (2016 nominated by ED), Novartis Spotlight Award (2016), Novartis Select Award (2017), 2019 MVP Award

• Assistant Investigator, Postdoc, Associate Investigator with increasing responsibility • Focus on transcriptome analysis, involving RNA editing, long non-coding RNA, micro RNA, etc. • Illustrated the function of ADAR1 on hESC differentiation and neural induction by regulating miRNA biogenesis via direct RNA interaction • Established de novel computational platform and trained graduate students for the lab • Sequencing data management, analysis, and integration • Infrastructure maintenance, monitoring, and troubleshooting

• Dissected PPI network and identified two anticorrelated modules in the cellular network of multicellular organisms, associating with proliferation and differentiation, respectively • Mined the epigenetic data and inferred causal relationships among different histone modifications and their impact on the gene expression regulation • Classification of pediatric acute lymphoblastic leukemia based on gene expression • Develop and maintain biological tools/pipelines/scripts • Infrastructure maintenance, monitoring, and troubleshooting