M. Moein Shariatnia

MD and ML researcher specialising in medical imaging, multimodal learning, LLMs, and generative AI. UK Global Talent Visa holder. 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, and co-secured >$70k in competitive grants.

I’m currently collaborating with the AI team at Hospital for Special Surgery (HSS) under Dr. Ayoosh Pareek, building state-of-the-art models for bone age prediction, landmark detection, and foundation models for MSK imaging. Earlier research includes work on contrastive and transfer learning (ICML’22, ICLR’23) with Google DeepMind/UW researchers, and TransDeepLab for medical image segmentation (~200 citations, MICCAI’22).

On the engineering side, I’ve shipped end-to-end ML products including a multimodal trademark search pipeline on Azure and a face-health Computer Vision application with Django REST + Ray Serve. I also maintain open-source tools: Simple CLIP (700+ GitHub stars), CONFLARE (6k+ PyPI downloads), and LatteReview for multi-agent systematic reviews.

I graduated with my MD from Tehran University of Medical Sciences (top 0.01% national exam, full scholarship) and am based in London, UK.