As a dedicated MSc student in Biophysics with a strong foundation in Computational Biology and Cancer Biology, I am actively seeking PhD positions or collaborative research projects in the fields of computational cancer research, proteomics, and genomics. My expertise lies in AI-driven drug design, molecular modeling, high-throughput data analysis (e.g., RNA-Seq and transcriptomics), and immunoinformatics, with a focus on innovative applications for cancer therapeutics and diagnostics.
Key Qualifications and Experience:
- Current Research: Thesis on “AI-Based Design of Targeting Peptides for Site-Directed Drug Delivery ”.
- Technical Skills: Proficient in Python, R for data analysis; molecular docking and dynamics simulations (GROMACS, LAMMPS).
- Publications: Co-authored 12+ peer-reviewed papers in journals such as International Journal of Pharmaceutics, Pathology - Research and Practice, and Journal of Controlled Release, covering topics like cancer immunotherapy, gene therapy, and neoantigen immunogenicity.
- Awards: Silver Medal at INNOVERSE Expo (USA, 2022); Multiple national recognitions from Iran’s National Elite Foundation.
I am particularly interested in International opportunities, where I can contribute to cutting-edge projects involving AI/ML in proteomics/genomics data integration, structure-based drug design, or computational modeling of cancer pathways. I am eager to join a dynamic lab or team as a PhD candidate or research collaborator, bringing my interdisciplinary skills in bioinformatics, biophysics, and microbiology to advance impactful research.
I would be delighted to discuss potential collaborations. Please feel free to contact me via email to share details or request my full CV and references.
BR,
Javad Arabpour
LinkedIn / Scholar
Email: bio.javad.arabpour@gmail.com