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README.md

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-# Pedramto89.github.io
+# Pedram Torabian
+
+![GitHub followers](https://img.shields.io/github/followers/Pedramto89?label=Followers&style=social)
+![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?logo=linkedin&style=for-the-badge)
+![Email](https://img.shields.io/badge/Email-pedram.torabian@ucalgary.ca-cyan?logo=gmail&style=for-the-badge)
+
+📞 **Phone:** (403) 890-9177  
+📧 **Email:** [pedram.torabian@ucalgary.ca](mailto:pedram.torabian@ucalgary.ca)  
+🔗 **LinkedIn:** [linkedin.com/in/pedram-torabian](https://www.linkedin.com/in/pedram-torabian)  
+🐱 **GitHub:** [Pedramto89](https://github.com/Pedramto89)  
+
+---
+
+## 🔍 About Me
+
+I'm **Pedram Torabian**, a passionate researcher and data scientist specializing in bioinformatics, genomics, and machine learning. Currently pursuing a **Master of Medical Science** at the **University of Calgary**, I leverage my expertise in R, Python, and high-performance computing to analyze complex biological data. My work focuses on spatial transcriptomics, single-cell RNA sequencing (scRNA-seq), and deploying machine learning techniques to uncover insights in cancer research and other genetic disorders.
+
+---
+
+## 💼 Work Experience
+
+### **Content Development Support - Educational Product**  
+**Alberta Machine Intelligence Institute (Amii)**  
+*April 2024 – June 2024*
+
+- Created educational content for the "Using AI in Biology & Life Sciences" MOOC, enhancing the learning experience for students and professionals.
+
+### **Research Assistant**  
+**Arnie Charbonneau Cancer Institute, University of Calgary**  
+*July 2020 – Present*
+
+- **Machine Learning Classifier Development:** Developed a comprehensive classifier in R and Python for spatial transcriptomics data analysis, utilizing seven algorithms including XGBoost to accurately predict non-annotated cell identities based on differentially expressed genes.
+- **Statistical Analysis:** Conducted analyses using Kruskal-Wallis, Mann-Whitney U, and ANOVA tests.
+- **Single-Cell Analysis:** Utilized tools such as CellPhoneDB and CellChat for cell communication studies, DESeq2 for gene expression analysis, Monocle3 for pseudotime analysis, and ssGSEA with GSVA.
+- **Data Integration:** Analyzed 30 GB of scRNA-seq data from ten samples using Seurat, identifying cell type-specific marker genes and compiling a comprehensive marker gene list.
+- **Bulk RNA-seq Deconvolution:** Applied computational deconvolution methods to bulk RNA-seq data from 180 pancreatic cancer samples in TCGA, uncovering gene expression dynamics related to stromal levels in the tumor microenvironment.
+
+### **Research Assistant**  
+**Razavi Hospital, Iran**  
+*November 2016 – October 2019*
+
+- Led a genetic generalized epilepsy project, advancing familial genetic profiling and contributing to key research publications.
+- Authored a comprehensive review on genetic and epigenetic aspects of Celiac disease.
+- Investigated primary non-Hodgkin's lymphoma in atypical sites, providing insights into extra-lymphatic lymphoma detection and treatment.
+
+### **Research Assistant**  
+**Iran University**  
+*September 2013 – February 2016*
+
+- Led five research projects on genetic disorders including long-QT syndrome, breast cancer, glioblastoma, and Celiac disease.
+- Utilized statistical analysis, proteomics, qPCR, and academic writing to guide strategic direction and execution.
+
+### **Molecular Biologist and Stem Cell Intern**  
+*November 2011 – May 2012*
+
+- Mastered laboratory techniques in molecular biology and stem cell biology, including RT-PCR and cell culture.
+
+---
+
+## 🎓 Education
+
+### **Master of Medical Science**  
+**University of Calgary**  
+*July 2020 – October 2024*  
+**GPA:** 3.7/4.0
+
+- **Selected Courses:** Intro Bioinformatics Resources, Advanced Bioinformatics, Tumor Microenvironment Dynamics, Intro Biostat Methods, Applied Genomics, Tumor Immunology and Therapy
+
+### **Master of Human Genetics**  
+**Iran University**  
+*September 2013 – February 2016*  
+**GPA:** 3.5/4.0
+
+- **Selected Courses:** Genetics Engineering, Advanced Topics in Human Genetics, Population Genetics
+
+---
+
+## 🏆 Awards & Achievements
+
+- **Griffith University Postgraduate Research Scholarship (GUPRS)**  
+  Awarded $28,092 AUD – *December 2019*
+
+- **Top 2% Ranking**  
+  Among participants in the national master's level entrance exam – *September 2013*
+
+- **Top 1% Ranking**  
+  Nationwide in the Iran national entrance exam – *September 2008*
+
+---
+
+## 🛠️ Technical Skills
+
+- **Programming Languages:** R, Python, Bash, Git
+- **Data Analysis:** Spatial Transcriptomics, scRNA-seq, Bulk RNA-seq
+- **Machine Learning:** Supervised & Unsupervised Techniques, XGBoost
+- **Statistical Analysis:** Kruskal-Wallis Test, Mann-Whitney U Test, ANOVA
+- **Bioinformatics Tools:** Seurat, CellPhoneDB, CellChat, DESeq2, Monocle3, ssGSEA, GSVA
+- **High-Performance Computing:** Slurm for managing compute jobs on HPC clusters
+
+---
+
+## 📂 Projects
+
+### **Machine Learning Classifier for Spatial Transcriptomics**
+- **Description:** Developed a machine learning classifier using R and Python to analyze spatial transcriptomics data, accurately predicting cell identities based on gene expression profiles.
+- **Technologies:** R, Python, XGBoost, Seurat
+
+### **Single-Cell RNA-seq Data Integration**
+- **Description:** Analyzed 30 GB of single-cell RNA-seq data using Seurat to identify cell type-specific marker genes and develop a comprehensive marker gene list.
+- **Technologies:** Seurat, R, Python
+
+### **Computational Deconvolution of Bulk RNA-seq Data**
+- **Description:** Applied computational deconvolution methods to bulk RNA-seq data from pancreatic cancer samples in TCGA, revealing gene expression dynamics in the tumor microenvironment.
+- **Technologies:** R, Python, TCGA data
+
+---
+
+## 📈 GitHub Stats
+
+![Pedram's GitHub Stats](https://github-readme-stats.vercel.app/api?username=Pedramto89&show_icons=true&theme=radical)
+
+![Top Langs](https://github-readme-stats.vercel.app/api/top-langs/?username=Pedramto89&layout=compact&theme=radical)
+
+---
+
+## 📫 Get in Touch
+
+I'm always open to discussing innovative research, collaborations, or new opportunities. Feel free to reach out via [LinkedIn](https://www.linkedin.com/in/pedram-torabian) or email me at [pedram.torabian@ucalgary.ca](mailto:pedram.torabian@ucalgary.ca).
+
+---