Skip to content
View AliiReezaa's full-sized avatar

Block or report AliiReezaa

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
AliiReezaa/README.md

Ali Reza Soleymani Taloubaghi: Genetic epidemiology · Causal inference · AI

Website Google Scholar LinkedIn Email

About me

I use human genetics as nature's randomized trial. My research combines Mendelian randomization (MR), systematic review and meta-analysis, and machine learning to identify the risk factors that truly cause disease. I also build software that makes these methods rigorous, tested and reproducible.

  • 🧬 Now: first-author MR studies on preeclampsia and on omega-3 and triglycerides, and building MR Studio
  • 🎓 M.Sc. Artificial Intelligence, YunTech (Taiwan): GPA 4.00/4.00, ranked 1st; Phi Tau Phi Scholastic Honor Society
  • 📄 4 peer-reviewed MR papers in NMCD, BMC Nutrition, Medicine and Iran J Med Sci
  • 📍 Taipei, Taiwan · working towards causal-inference methods for East Asian biobank data

Featured work

Project Role What it shows
🖥️ MR Studio Lead developer Desktop platform for two-sample MR; benchmark-validated; ~390 tests; CI builds for macOS and Windows
🤰 Preeclampsia MR meta-analysis First author 143-study synthesis plus de novo FinnGen / UK Biobank MR, drug-target MR and MVMR
🐟 Omega-3 → triglycerides First author Discovery and replication arms, MR-Clust pathways, two-step mediation MR
🫀 Remnant cholesterol → NAFLD Co-author · analyst Three outcome GWAS, positive control, LDSC
👶 Maternal iron → birth weight Co-author Maternal-effect MR triangulated with CAUSE, MRlap and colocalisation
🚗 Enhanced DenseTNT M.Sc. thesis Graph attention + MDN + RL; Waymo minADE reduced by 23%
📱 BioCalX Main developer Android app with 20 clinical sample-size formulas

Repositories for studies that are still under review show the design and methods only. Results and code are released on publication.

Toolkit

Causal inference: IVW · MR-Egger · weighted median/mode · MR-PRESSO · radial MR · MVMR · drug-target MR · CAUSE · MRlap · MR-Clust · LDSC · colocalisation · double ML

Data: UK Biobank · FinnGen · GWAS Catalog · IEU OpenGWAS · GLGC · 1000 Genomes · PLINK

R Python PyTorch scikit-learn Tauri Kotlin Swift Docker GitHub Actions

Publications

  1. Habibi D, …, Soleymani Taloubaghi A, …, Akbarzadeh M. Monounsaturated fatty acids and cardiovascular disease: an MR study. Iran J Med Sci 2026. doi
  2. Akbarzadeh M, …, Soleymani Taloubaghi A, …, Habibi D. Vitamin D and celiac disease: meta-analysis and MR. Medicine 2026. doi
  3. Habibi D, …, Soleymani Taloubaghi A, …, Mansourian M. Saturated fatty acids and heart stroke: two-sample MR. BMC Nutrition 2025. doi
  4. Habibi D, …, Soleymani Taloubaghi A, …, Mansourian M. Vitamin D and cardioembolic stroke: two-sample MR. NMCD 2024. doi

Popular repositories Loading

  1. Circular-Stacked-Bar-Chart-Visualization Circular-Stacked-Bar-Chart-Visualization Public

    A Python project that visualizes multi-category data in a circular stacked bar chart format. The data is read from an Excel file, and values are mapped to a custom color gradient for visualization.

    Python 1

  2. AliiReezaa AliiReezaa Public

    Hi there, This is my profile

  3. Scene-Recognition-Using-Image-Processing-Techniques-in-Python Scene-Recognition-Using-Image-Processing-Techniques-in-Python Public archive

    This project focuses on developing a scene recognition system using Python and OpenCV. The aim is to classify images of different scenes—such as beaches, mountains, restaurants, and roads—by levera…

    Jupyter Notebook

  4. Image-Histogram-Analysis-and-Equalization Image-Histogram-Analysis-and-Equalization Public archive

    This project demonstrates the use of OpenCV and NumPy to perform image histogram analysis and apply histogram equalization for enhancing contrast.

    Jupyter Notebook

  5. Object-Detection-Using-SIFT-and-Homography Object-Detection-Using-SIFT-and-Homography Public archive

    This project focuses on object detection using the Scale-Invariant Feature Transform (SIFT) algorithm and homography estimation.

    Jupyter Notebook

  6. Image-Segmentation-Validation-using-Keras-and-OpenCV Image-Segmentation-Validation-using-Keras-and-OpenCV Public archive

    This project validates image segmentation models using Keras and OpenCV. The notebook demonstrates how to load a pre-trained model, normalize images, and use various metrics and visualizations for …