With about 4 years of experience in computational biology, I specialize in single cell data analysis and bioinformatics area. My passion lies in utilizing AI and machine learning techniques to further the fields of tumor immunotherapy and neuroscience. I have collaborated with several pioneer institutes such as Helmholtz Zentrum Munich, Sanger Institute, and University of Calgary, merging biological and computational aspects of different diseases to gain a deeper understanding of them. My goal is to continue to combine my expertise in both the biological and computational fields to pave the way for new medical breakthroughs that can positively impact society.
• Micro Array, Bulk, Single-cell RNA-seq and Spatial transcriptomics data analysis • Single-cell data integration and multi-modal analysis using scArches • Experienced in programming languages (Python and R) • Data classification • Perturbation analysis • Primer designing • qPCR • ELISA • Cell culture • MIC/MBC • Proficient in Microsoft word, PowerPoint, Excel, Adobe Illustrator, and PRISM
• Best Oral Presenter in the 9th International Congress of Medical Student 2022 • Best Researcher at Birjand University of Medical Sciences (BUMS) 2022 • Best Researcher at Birjand University of Medical Sciences (BUMS) 2023 • Best Researcher of Iran among undergraduate students 2023
• Wellcome Sanger Institute 2/2023-present Research Collaborator, Bayraktar Group and Lotfollahi Group Working on single-cell atlases, perturbation analysis and drug discovery. • Sharif University of Technology 7/2022-12/2022 Research Intern, Robust and Interpretable Machine Learning Lab (Rohban Lab) Working on machine learning methods on single-cell data analysis in TME of prostate cancer. • Cellular and Molecular Research Center 1/2021-12/2022 Research Assistant, Safarpour Lab Working on single-cell RNA-seq data analysis in TME of various solid tumors.
B.Sc. Medical Laboratory Sciences. BUMS, Birjand, Iran. 2019-2023 (Average Score=17.39 of 20)