CV

Amir M. Vahdani, MD

Tehran Email: a.m.vahdani@gmail.com • Phone: +98 918 648 8454 Website: https://amirv97.github.io LinkedIn: https://www.linkedin.com/in/amir-m-vahdani-0847991a7/ GitHub: https://github.com/amirv97 Google Scholar: https://scholar.google.com/citations?user=Z3xTClQAAAAJ\&hl=en

Summary

• I am a machine-learning developer and medical researcher with 2+ years of experience applying AI-powered solutions to biomedical problems.
• Led projects on medical image segmentation, object detection, and classification across diverse modalities.
• MD graduate from Iran’s top medical university, combining clinical insight with technical expertise.

Education

• Doctor of Medicine, Tehran University of Medical Sciences, 2015 – 2023, Tehran

Experience

• Research Assistant (Remote collaboration)

  • Hospital for Special Surgery (HSS), New York, NY, June 2024 – Present
  • Projects applying ML to musculoskeletal medicine
  • Supervisor: Dr. Ayoosh Pareek, M.D.

  • Highlights:

    • Major contributions to ML pipelines for cartilage segmentation (PyTorch)
    • Authored a book chapter for the upcoming “Basic Methods Handbook for Clinical Orthopaedic Research” on deploying deep-learning models in clinical settings

• Research Assistant

  • Image-guided Surgery Lab, Tehran University of Medical Sciences, 2023 – Present, Tehran
  • Led glioma segmentation project in intra-operative ultrasound, improving the Dice score by 5–10% compared to the previous SOTA
  • Developed novel uncertainty quantification approach for semantic segmentation, based on conformal prediction

• Research Assistant

  • Endocrine and Metabolic Research Institute (EMRI), Tehran University of Medical Sciences, 2021 – 2023, Tehran
  • Authored two clinical studies

Publications

1. Vahdani AM, Shariatnia M, Rajpurkar P, Pareek A. Towards trustworthy artificial intelligence in musculoskeletal medicine: A narrative review on uncertainty quantification. Knee Surgery, Sports Traumatology, Arthroscopy. 2025-07-28. DOI: 10.1002/ksa.12737
2. Nayebirad S, Hassanzadeh A, Vahdani AM, et al. Comparison of machine learning models with conventional statistical methods for prediction of percutaneous coronary intervention outcomes: a systematic review and meta-analysis. BMC Cardiovascular Disorders. 2025-04-23. DOI: 10.1186/s12872-025-04746-0
3. Rezae M, Nasehi MM, Aminzade Z, Karami H, Vahdani AM, et al. Prescription patterns and the cost of antihyperglycemic drugs in patients with diabetes mellitus in Iran from 2014 to 2019. Diabetes Research and Clinical Practice. 2025-03. DOI: 10.1016/j.diabres.2025.112078
4. Vahdani AM, Faghani S. Deep Conformal Supervision: Leveraging Intermediate Features for Robust Uncertainty Quantification. Journal of Imaging Informatics in Medicine. 2024-10-07. DOI: 10.1007/s10278-024-01286-5
5. Ghadimi DG, Vahdani AM, Karimi H, et al. Deep Learning-Based Techniques in Glioma Brain Tumor Segmentation Using Multi-Parametric MRI: A Review on Clinical Applications and Future Outlooks. Journal of Magnetic Resonance Imaging. 2024-07-29. DOI: 10.1002/jmri.29543
6. Aalaa M, Vahdani AM, Tehrani MM, et al. Epidemiological Insights into Diabetic Foot Amputation and its Correlates: A Provincial Study. Clinical Medicine Insights: Endocrinology and Diabetes. 2024-01-30. DOI: 10.1177/11795514241227618
7. Vahdani AM, Sanjari M, Fahimfar N, et al. Assessment of quality of life and its affecting factors in osteosarcopenic individuals in the Iranian older adult population: Bushehr Elderly Health (BEH) program. Osteoporosis and Sarcopenia. 2023-12-21. DOI: 10.1016/j.afos.2023.12.002

Skills

• Programming & Platforms

  • Python, Git, Docker

• Libraries & Frameworks

  • PyTorch, MONAI, scikit-learn, HuggingFace Transformers

• AI & ML

  • Computer vision (segmentation, classification), generative models (LLMs, VLMs), uncertainty quantification, self-supervised learning

• Medical Imaging

  • DICOM handling, 3D Slicer

• Data & Statistics

  • SPSS, Pandas, Matplotlib, study design

• Visualization & Typesetting

  • Matplotlib/Plotly, LaTeX

Awards

• Iran Biology Olympiad Gold Medal (2014)

  • Placed 4th in nation out of ~39 000 participants

Languages

• English: Full professional proficiency
• Persian: Native
• Kurdish: Native
• German: Novice

References

• Ayoosh Pareek, M.D. Medical Director of AI, Hospital for Special Surgery (HSS), New York, NY pareeka@hss.edu

• Shahriar Faghani, M.D. Assistant Professor of Radiology, University of Pennsylvania, Philadelphia, PA shahriar.faghani@gmail.com

• Parastoo Farnia, Ph.D. Assistant Professor of Biomedical Engineering, Tehran University of Medical Sciences, Tehran p-farnia@sina.tums.ac.ir