Resume

• Liangke (Connie) Gou
  • Summary
  • Education
  • Skills
  • Work Experiences
  • Publications and Patent

Liangke (Connie) Gou

Summary

Data scientist and biostatistician with life cycle drug development experiences (pre-clinical, clinical early and late phases) expanding multiple disease areas. Have over 3 years of experience for clinical trial data analysis, digital health data analysis, multi-omics data analysis and non-clinical statistics. Highly-skilled in machine learning, deep learning, statistical modeling, experimental design, causal inference, survival analysis, longitudinal analysis, advanced exploratory visualization and leadership.

Education

2014-2019

Doctor of Philosophy, Human Genetics; University of California, Los Angeles

2014-2019

Master of Science, Statistics; University of California, Los Angeles

2010-2014

Bachelor of Science, Biological Science; Sichuan University

Skills

• Programming Languages:
  • R, Python, SQL, Julia, Git, Latex, Unix/SGE, bash, Jeckyll, Html
• Statistics
  • Survival Analysis, Bayesian statistics, Regularized regression, Causal inference, Dimension reduction, Sampling, ANOVA and ANCOVA, Missing data, Hierarchical models, Model selection, Latent variables, Multivariate analyses
• Deep/Machine Learning
  • Classification (CNN, RNN, Neural Architecture Search, adaboost/xgboost, SVM, random forests); Unsupervised Learning (clustering, NMF, factor analysis)}
• Digital Health device
  • Analyze clinical data from digital devices using machine learning and deep learning
• Advanced Visualization
  • ggplot2, build Rshiny app, document analysis with R bookdown, Adobe Illustrator
• Multi-Omics and Bioinformatics
  • Proteomics (SomaScan analysis); Genomics (GWAS and QTL, polygenic risk score)
• Languages:
  • Mandarin (native speaker); English (fluent)

Work Experiences

• May 2022 - Present

  Novartis

  Senior Expert Data Science II/Senior Principal Biostatistician

  • Biomarker for Late Phase Hematology Trials

    Serve as Statistical Biomarker lead for the AML/MDS disease area. Design and conduct the exploratory Statistical Analyses Plan for Biomarker analyses in phase II and phase III clinical trials. Create and review Exploratory Biomarker Report. Support submission of exploratory biomarker results. Identify the biomarker subgroups who have better response. Understand the underlying mechanism of compound and disease using biomarker data

  • Same projects as I was the Senior Expert Data Science I

    Please refer to the section below.

• Sep. 2019 - Apr. 2022

  Novartis

  Senior Expert Data Science I/Principal Biostatistician

  • Early Phase Hematology Clinical Trial

    Responsible for statistical tasks covering data analyses, dosage escalation and potentially dosage expansion. Represent biostatistics on cross-functional international teams for the assigned trial and collaborate with other line functions.

  • Digital Health Clinical Trial

    Perform exploratory analyses for innovative clinical digital endpoints with a variety of data architectures. Formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to discover actionable insights.

  • Deep learning and machine learning

    Build predictive models using various machine learning methods to predict the outcome. Use deep learning algorithms to analyze digital data (e.g. Electroencephalography data)

  • Proteomics and GenomicsData Mining

    Integrate SomaScan data and Genomics data from multiple clinical trials to understand the underlying mechanisms of diseases and to identify novel drug targets. Served as the proteomics committee to conduct lecture series on Proteomics and SomaScan data analyses.

  • Pre-clinical Statistical Support

    Perform sample size calculation and provide statistical support for pre-clinical biologist and researchers. Developed the statistical justification and method part for the European Animal License renew. Contribute to the Non-clinical Statistics best working practice.

  • Statistical Consulting

    Provide consulting support for projects requiring hands-on expertise in novel quantitative approaches, including incorporating evidence from sources of big data (biomarkers, digital technology and real world evidence).

  • Smart Visualization

    Design and develop the analysis pipelines, provide data-driven hypotheses and deliver smart visualization platforms (eg. RShiny app) to offer exploratory analyses support for researchers.

Publications and Patent

• 2021 Kerry Rogers,Ian Flinn,Deborah Stephens,Thomas Kipps,Sarah Larson,Carolyn McGarry,Nadia Hassounah,Liangke Connie Gou,Janghee Woo,John Byrd. Investigating the Addition of Ianalumab (VAY736) to Ibrutinib in Patients with Chronic Lymphocytic Leukemia (CLL) on Ibrutinib Therapy: Results from a Phase Ib Study. Blood https://doi.org/10.1182/blood-2021-147775}{https://doi.org/10.1182/blood-2021-147775

• 2020 Alex Sverdlov, Jelena Curcic, Kritin Hannesdottir, Liangke Gou, Jens Praestgaard, Vanessa Vallejo, Andrew Dolman, Baltazar Gomez-Mancilla, Kostas Biliouris. A study of new exploratory tools, digital technologies and biomarkers to characterize depression. Frontiers in Psychiatry https://www.frontiersin.org/articles/10.3389/fpsyt.2021.640741

• 2020 Kerry Rogers, Ilan Flinn, Carolyn McGarry, Liangke Connie Gou, Nadia Hassounah, Janghee Woo, John Byrd. Phase 1b Study of Ianalumab (VAY736) and Ibrutinib in Patients With Chronic Lymphocytic Leukemia on Ibrutinib Therapy. Blood https://ash.confex.com/ash/2020/webprogram/Paper137629.html

• 2020 US Patent Kerry Rogers, Ilan Flinn, Carolyn McGarry, Liangke Connie Gou, Nadia Hassounah, Janghee Woo, John Byrd. Phase 1b Study of Ianalumab (VAY736) and Ibrutinib in Patients With Chronic Lymphocytic Leukemia on Ibrutinib Therapy. PAT058936-US-PSP

• 2019 Zijun Zhang, Linqi Zhou, Liangke Gou, Ying Nian Wu. Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge. arXiv https://arxiv.org/abs/1909.00337

• 2018 Liangke Gou, Joshua Bloom, Leonid Kruglyak. The genetic basis of mutation rate variation in yeast. Genetics http://www.genetics.org/content/early/2018/11/30/genetics.118.301609

• 2013 Li-Chun Jiang, Liang-Ke Gou, Xin Zhang, Qing-Mei Zhao, Shuai Tan, Rui Peng, Yu-Qing, Wei, Fang-Dong Zou;Complete mitochondrial genome of a new subspecies of the blue sheep, Pseudois nayaur (Cetartiodactyla: Caprinae) from Helan Mountain in China; Mitochondrial DNA https://www.tandfonline.com/doi/abs/10.3109/19401736.2013.855759?journalCode=imdn20