cv

Basics

Name M. Moein Shariatnia
Label MD & ML Researcher
Email moein.shariatnia@gmail.com
Summary MD and ML researcher specialising in medical imaging, multimodal learning, LLMs, and generative AI. 350+ citations (h-index 6) and 4+ years of large-scale R&D, with collaborations at Google DeepMind, Mayo Clinic, Stanford, Harvard, and Hospital for Special Surgery. Published at ICML, ICLR, MICCAI workshops and leading medical journals. Co-secured >$70k in competitive grants.

Work

  • 2024.01 - Present
    Machine Learning Researcher (Part-Time)
    AP Healthtech LLC
    Collaboration with Dr. Ayoosh Pareek's multidisciplinary team on AI for musculoskeletal imaging at Hospital for Special Surgery (HSS).
    • Started as sole ML developer; early results led to >$70k in competitive grants (AOSSM, ON Foundation, ISHA) and growth to a team of 3 engineers
    • Designed bone age prediction model from hand and knee X-rays (~3-month MAE, >20% over prior SOTA); built landmark detection pipeline with <1% keypoint error; model being integrated into clinical workflows
    • Co-leading self-supervised foundation model for MSK imaging and MRI-to-CT translation via diffusion models; collaborated on trustworthy AI for medicine with Harvard researchers (Dr. Rajpurkar)
  • 2023.05 - 2023.11
    Machine Learning Developer (Part-Time, Contract)
    Rocket AB
    Built multimodal search pipeline for brand/logo conflict detection, Stockholm, Sweden.
    • Built multimodal search pipeline (CLIP embeddings + classical NLP) for brand/logo conflict detection across 500k+ trademarks in NoSQL database; FastAPI backend <150ms latency; Dockerized and deployed on Azure
  • 2021.06 - Present
    Independent Research Collaborator
    Google DeepMind, Mayo Clinic, Stanford, RWTH Aachen
    Multiple research collaborations across top institutions.
    • DeepMind/UW: Large-scale distributed training (8x V100) on million-scale datasets; invented one-shot method with >10x compute savings. Papers at ICML 2022 and ICLR 2023
    • RWTH Aachen/Stanford: Developed TransDeepLab, Swin-Transformer medical image segmentation (~200 citations, MICCAI)
    • Mayo Clinic: Automated shoulder morphology measurement via keypoint detection (JSES 2022); lead developer of CONFLARE, conformal prediction for RAG (6k+ PyPI downloads); co-developed LatteReview multi-agent LLM framework
  • 2021.03 - 2023.04
    Machine Learning Developer (Part-Time)
    Aris Co.
    Led development of face-health computer vision application, Tehran, Iran.
    • Led development of face-health CV application with personalised skincare recommendations; built end-to-end ML pipeline with 4 models (face detection, quality check, wrinkle/redness segmentation, skin classification) optimised for CPU inference; deployed via Django REST + Ray Serve (<20ms latency)

Volunteer

  • 2025.01 - 2025.12
    Workshop Lecturer
    RSNA Annual Meeting, Chicago
    Workshop on 'An Introduction to Multi Agent AI Systems in Radiology'.
  • 2024.01 - 2024.12
    Workshop Lecturer
    SIIM Annual Meeting, Baltimore
    Workshop on 'Towards Trustworthy Automated LLMs'.
  • 2022.01 - Present
    Invited Reviewer
    ICML/ICLR Workshops + PLoS ONE
    Peer review for top ML conferences and medical journals.

Education

Awards

Publications

Skills

ML & Deep Learning
PyTorch
HuggingFace (Transformers, Diffusers)
scikit-learn
OpenCV
Self-supervised Learning
Transfer Learning
Distributed Training (multi-GPU)
Uncertainty Quantification
Computer Vision
Classification
Segmentation
Keypoint Detection
Medical Imaging (DICOM, NIfTI, MONAI)
Diffusion Models
GANs
Vision Transformers
CLIP
NLP & Generative AI
LLM Fine-tuning
Retrieval-Augmented Generation (RAG)
Multi-Agent Systems
Conformal Prediction
Prompt Engineering
Engineering & Cloud
Python
FastAPI
Django REST
Ray Serve
Docker
Git
Linux
GCP
AWS
Azure
Research & Domain
Grant Writing ($70k+ secured)
Clinical Validation
Study Design
Scientific Writing
Peer Review (ICML/ICLR)

Languages

Persian
Native speaker
English
Full professional proficiency

Interests

Machine Learning Research
Computer Vision
Multimodal AI
Generative AI
Medical Image Analysis
Open Source & Education
Technical Writing
Educational Content
Open Source Contributions

Projects