

PhD-level researcher in genetics and bioinformatics with a Bachelor’s in Pharmacy, experienced in analyzing complex biological data using Python, R, and advanced statistical methods. Passionate about translating genetic insights into actionable solutions that enhance product efficacy and safety. Eager to contribute to innovative, data-driven research in a collaborative environment focused on scientific discovery and health improvement.
Department Of Physics And Astronomy
Supervisor: Dr. Steven S. Plotkin
Project: Computational prediction of misfolding specific epitopes in cancer related proteins.
Experienced on: Gromacs, Charmm, Amber, Matlab, Python, Bash.
Tissue Biology group, School of Medicine, BioMediTech
Supervisor: Dr. Seppo Parkkila and Dr. Martti Tolvanen
Project: Comparing gene sequences based on conserved position and determination of structure-function relationship of alpha Carbonic Anhydrases.
Experienced on: Chimera, Pymol, R, Biopython, NCBI-Blast, Clustal Omega
Molecular Signaling Lab, Computational System Biology
Supervisor: Dr. Meenakshisundaram Kandhavelu
Project1: Molecular docking and conformational analysis of RNAP, Mg2+, and NTPs at the active site of transcription open complex.
Experienced on: Chimera, Pymol, Molegro Virtual Docker and Autodock.
Project2: Cell cycle depended in vivo transcriptional dynamics of E. coli.
Experienced on: PCR, Gel electrophoresis, Cell culture, Molecular cloning, Confocal microscopy, Spectroscopy etc.
Supervisor: Ms. Sadia Afreen
Rational use of antibiotics at the primary healthcare level of Bangladesh.
Programming & Statistical Analysis: R (advanced), Python/Biopython (intermediate), Bash (intermediate), Matlab (intermediate); well-versed in statistical techniques for genetic and bioinformatics data (eg, regression, logistic regression, mixed models, ANOVA)
Genomic & GWAS Tools: Plink, Golden Helix, Eigensoft, SNPweights, KING, Admixture, Impute2, Eagle, SNPsift, Bcftools
Molecular Dynamics & Simulation: Gromacs, Charmm, Amber
Bioinformatics & Structural Tools: Homer, Chimera, PyMOL, Molegro Virtual Docker, Bioconductor
Operating Systems: Windows, Linux, Mac, Ubuntu
MS Office: Word, Excel, PowerPoint, Outlook
Databases: UCSC Genome Browser, Ensembl, UniProt/Swiss-Prot, PDB, dbSNP, STRING, FUMA, Magma
Other Tools & Skills: Git/GitHub, LaTeX
Yu, Y., Chen, S., Jones, S. J., Hoque, R., Vishnyakova, O., Brooks-Wilson, A., & McNeney, B. (2022). Penalized logistic regression analysis for genetic association studies of binary phenotypes. Human Heredity. Advance online publication. https://doi.org/10.1159/000525650 (PMID: 35767963)
Sala, A., Shoaib, M., Anufrieva, O., Mutharasu, G., Hoque, R., Yli-Harja, O., & Kandhavelu, M. (2015). Transcription closed and open complex dynamics studies reveal balance between genetic determinants and co-factors. Physical Biology, 12(3), 036003. https://doi.org/10.1088/1478-3975/12/3/036003 (PMID: 25988584)
Teaching Assistant, Department of Zoology
University of British Columbia (UBC), Vancouver, BC
2017–2019
Courses Supported:
Key Responsibilities:
Hoque, R., Leach, S., Jones, S., & Brooks-Wilson, A. (2020). Genome-wide association study of healthy aging in “Super Seniors”. Presented at the American Society of Human Genetics (ASHG) Annual Meeting, Virtual Conference(COVID-19).
Hoque, R., Leach, S., & Brooks-Wilson, A. (2023). Candidate and genome-wide pathway analysis of Super Seniors.Presented at the American Society of Human Genetics (ASHG) Annual Meeting, Washington, D.C., USA.
Hoque, R., Leach, S., Vishnyakova, O., & Brooks-Wilson, A. (2024). Comprehensive genomic analysis of healthy aging in Super Seniors. Presented at the American Society of Human Genetics (ASHG) Annual Meeting, Denver, Colorado, USA.
Music, Reading, Baking, Movie, Traveling.
References available upon request