I am a computational biologist with a passion for unraveling the intricacies of high-throughput biological data. Armed with a diverse skill set, I navigate the realms of bioinformatics with ease, proficient in an array of programming languages such as R, Bash, Shell scripting, Python, Perl, and CGI-Perl. My expertise extends beyond conventional data analysis to the implementation of cutting-edge supervised and unsupervised machine learning and deep learning techniques.

My forte lies in the adept handling of diverse Next-Generation Sequencing (NGS) and multi-omics epigenetics data, where I derive meaningful insights and contribute to the ever-evolving landscape of computational biology. I find joy in transforming complex datasets into actionable knowledge, and I am driven by the excitement of pushing the boundaries of bioinformatics.

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Research interests:

•  Dedicated to creating novel computational methods and algorithms for protein localization and structure prediction.

• Development of predictive models utilizing machine learning, deep learning, and statistical analysis.

• Specializing in predictive modeling of different chromatin states by integrating datasets of various histone modifications, uncovering re-occurring combinatorial and spatial patterns.

• Skilled in developing databases using MySQL and MongoDB, contributing to efficient data management.

• Proficient in creating visualization tools to enhance data interpretation and analysis.

• Analysis and integration of multi-omics data such as RNA-Seq, ChIP-Seq, ATAC-Seq, WGBS, and RRBS. 

 

Scientific Contributions:​

1. Editorial Board Member of Journal of Clinical Informatics.

2. Editorial Board Member of Academia Biology.

3. Topic editor of a special issue of the journal Frontiers in Molecular Neuroscience, entitled "Advancing therapeutics for Alzheimer's disease and related dementias through multi-omics data analysis in ethnically diverse populations".

4. Guest editor of a special issue of the journal Academia Biology, an open access journal, entitled “Machine Learning in Multi-Omics Data Analysis: Unraveling the Complexity of Life”.

5. Topical advisory panel member of journal cancers, an open access journal by MDPI.

6. Guest editor of a special issue of the journal Axioms, an open access journal by MDPI, entitled “Recent Advance in Computational Biology and Bioinformatics”.

7. Guest editor of a special issue of the journal Life, an open access journal by MDPI, entitled “Recent Advances of Deep Learning and Machine Learning in Bioinformatics”.

8. Guest editor of a special issue of the journal Life, an open access journal by MDPI, entitled “The Applications and Advancements of the Methods for Protein Subcellular Localization”.

9. Review Editor for Protein Bioinformatics in Frontiers in Bioinformatics.

10. Review Editor for Computational Genomics in Frontiers in Genetics.

11. Reviewer board member of the journal Life of MDPI.

12. Editorial Board member of Japanese Journal of Gastroenterology Research

13. Editorial Board member of International Journal of Biometrics and Bioinformatics (IJBB).

14. Editorial Board member of Physical Science & Biophysics Journal.

15. Editorial Board member of Current Trends In Biological Science - CTBS.

 

Current Affiliation:

Senior Scientist

Department of Psychiatry

Washington University School of Medicine

St. Louis, MO, USA