Profile Details

Create Project

★★★★★

☆☆☆☆☆

USD 25 /hr

★★★★★

☆☆☆☆☆

Hire Dr. YIBO Z.

China

USD 25 /hr

Doctoral Bioinformatician | Expert in Molecular Networks & Multi-omics

Profile Summary

I am a highly skilled bioinformatician with a Ph.D. and MRes in Biostatistics and Bioinformatics from University College London (UCL). Currently, I am working as a Research Associate at UCL, specializing in multi-omics and molecular network analysis. My expertise encompasses a broad range of bioinformatics techniques including differential expression analysis, Weighted Gene Co-Expression Network Analysis (WGCNA), Genome-Wide Association Studies (GWAS), and protein-protein network analysis. I have a strong background in applying machine learning algorithms for disease differentiation and predictive modeling, contributing significantly to the understanding of complex biological systems and disease mechanisms. My research has been published in several prestigious academic journals, underscoring the impact and quality of my work. Key Skills and Expertise: Multi-Omics Analysis: Integration and analysis of various omics data types (genomics, transcriptomics, proteomics) to uncover insights into biological processes and disease states. Molecular Network Analysis: Construction and analysis of molecular networks to identify key regulatory genes and pathways. Differential Expression Analysis: Identification of differentially expressed genes across conditions using statistical methods. Weighted Gene Co-Expression Network Analysis (WGCNA): Network construction and module detection to study gene expression patterns. Genome-Wide Association Studies (GWAS): Conducting and interpreting GWAS to identify genetic variants associated with traits and diseases. Protein-Protein Network Analysis: Analysis of interactions between proteins to understand cellular functions and disease mechanisms. Machine Learning: Application of machine learning techniques for disease differentiation and predictive modeling, including classification and regression models. Programming Languages: Proficiency in R and Python for data analysis and visualization. Unix High-Performance Computing (HPC): Extensive experience in utilizing Unix-based HPC systems for large-scale data processing and bioinformatics analyses. Publications: Author of multiple research articles in peer-reviewed academic journals. In addition to my professional work, I am committed to giving back to the community and offer free bioinformatics services to charitable organizations. My academic and professional journey has equipped me with a comprehensive skill set in bioinformatics and biostatistics, enabling me to contribute effectively to cutting-edge research in multi-omics and molecular network analysis. I am passionate about leveraging my expertise to drive advancements in biomedical research and improve understanding of complex diseases. I offer free bioinformatics service for charitable organizations.

Subject Matter Expertise

• ☆ Biostatistics
• ☆ Data Analysis
• ☆ Data Collection
• ☆ Machine Learning
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Data Storage
• ☆ Python
• ☆ STATA
• ☆ R

Services

• Writing

Writing Technical Writing, General Proofreading & Editing, Translation

Work Experience

Researcher, Research Associate

University College London School of Pharmacy

October 2023 - Present

Research Fellow

University College London

December 2023 - December 2024

Education

PhD

University College London, University of London - United Kingdom

October 2020 - April 2024

PhD (School of Phamacy)

University College London

October 2020 - January 2024

MRes (Institute of Neurology)

University College London

September 2018 - November 2019

MRes

Univerisity College London

September 2018 - September 2019

BSc (School of Phamacy)

China Pharmaceutical University

September 2014 - June 2018

BSc (School of Phamacy)

China Pharmaceutical University

September 2014 - June 2018

Certifications

• PhD

  University College London School of Pharmacy

  April 2024 - Present

Publications

PREPRINT

Yibo Zhao, Lucia Iannotta, Rachel Fasiczka, Giulia Favetta, Elena Giusto, Elena Giusto, Elena Dall'Ara, Elena Dall'Ara, Elena Dall'Ara, Jianning Wei, et al. (2024). PAK6 rescues pathogenic LRRK2-mediated ciliogenesis and centrosomal cohesion defects in a mutation-specific manner .

Yibo Zhao, Giulia Tombesi, Giulia Tombesi, Shiva Kompella, Shiva Kompella, Giulia Favetta, Chuyu Chen, Chuyu Chen, Martina Sevegnani, Martina Sevegnani, et al. (2024). LRRK2 regulates synaptic function through BDNF signaling and actin cytoskeleton .

Yibo Zhao, Matthew Bracher-Smith, Kirsten Harvey, Valentina Escott-Price, Patrick A Lewis, Claudia Manzoni (2023). Transcriptomics and weighted protein network analysis of the LRRK2 protein interactome reveal distinct molecular signatures for sporadic and LRRK2 Parkinson’s Disease .

JOURNAL ARTICLE

Luying Shao, Michael Heinrich, Jose Prieto, Claudia Manzoni, Claudia Manzoni, Yibo Zhao (2023). Active natural compounds perturb the melanoma risk-gene network . G3: Genes, Genomes, Genetics.

Yibo Zhao, Hanyuying Wang, Anette Schrag (2023). Development of anxiety in early Parkinson's disease: A clinical and biomarker study . European Journal of Neurology.

Yibo Zhao, Miguel A. Andrade-Navarro, Nikoleta Vavouraki, Ruth C. Lovering, Valentina Escott-Price, Kirsten Harvey, Patrick A. Lewis, Claudia Manzoni (2023). Tissue specific LRRK2 interactomes reveal a distinct striatal functional unit . PLOS Computational Biology.

Zhao, Yibo, Wang, Hanyuying, Schrag, Anette, Wang, Hanyuying, Schrag, Anette, Wang, Hanyuying, Schrag, Anette, Wang, Hanyuying, Schrag, Anette, et al. (2023). Development of anxiety in early Parkinson's disease: A clinical and biomarker study . European Journal of Neurology.

Zhao, Yibo, Vavouraki, Nikoleta A., Lovering, Ruth C., Escott-Price, Valentina A., Harvey, Kirsten, Lewis, Patrick A. A., Manzoni, Claudia, Vavouraki, Nikoleta A., Lovering, Ruth C., Escott-Price, Valentina A., et al. (2023). Tissue specific LRRK2 interactomes reveal a distinct striatal functional unit . PLOS Computational Biology.

Zhao, Yibo, Shao, Luying, Heinrich, Michael, Prieto-Garcia, Jose M., Manzoni, Claudia (2023). Active natural compounds perturb the melanoma risk-gene network . G3: Genes|Genomes|Genetics.

Zhao, Yibo, Shao, Luying, Heinrich, Michael, Prieto-Garcia, Jose M., Manzoni, Claudia, Shao, Luying, Heinrich, Michael, Prieto-Garcia, Jose M., Manzoni, Claudia, Shao, Luying, et al. (2023). Active natural compounds perturb the melanoma risk-gene network . G3: Genes|Genomes|Genetics.