biosketch

Overview of my academic and professional background.

overview

Dr. Fengming Lin is a Postdoctoral Research Associate in the Department of Computer Science at the University of Manchester, working at the intersection of medical imaging, artificial intelligence, and in-silico trials. His research aims to advance the development of computational models and digital twins that can accelerate innovation in cardiovascular medicine.

He has contributed to methods for vascular segmentation, image registration, and image-to-mesh reconstruction, integrating deep learning with biomechanical modeling to enable simulation-ready patient-specific models. His work supports the vision of applying generative AI and virtual populations to regulatory science and healthcare translation.

Dr. Lin is committed to fostering interdisciplinary collaboration between computer science, medicine, and engineering, and has co-authored over 17 publications in leading journals and conferences. Beyond his core research, he actively reviews for top-tier journals and explores the broader application of AI, including large language models for healthcare and decision support.

professional experience

  • Postdoctoral Research Associate, University of Manchester, UK (2024.9 – Present)
    Project: Generative AI for Cardiovascular In-silico Trials

education

  • PhD in Computer Science, University of Leeds, UK, 2020.9 – 2024.9
    Thesis: Vessel Tree Segmentation and Modality Agnostic Aneurysm Detection
  • MSc in Electronic and Communication Engineering, Shandong University, China, 2017.9 – 2020.7
    Thesis: Deep Learning-Based Brain Tumor Segmentation
  • BEng in Communication Engineering, Shandong University, China, 2013.9 – 2017.7
    Thesis: Deep Learning-Based Image Classification
  • High School Diploma, Yantai No.1 High School (Elite Experimental Class), China, 2010.9 – 2013.7

selected projects

  • NVIDIA Academic Grant (Co-I): High-fidelity cardiac mesh reconstruction using Graph Gaussian Splatting
  • Intelligent Fundraising & Investment Collaboration Platform (PI): GPT-powered automation for startup financing
  • Legal Document Analysis System (PI): Local LLaMA-based solution for law document generation and risk assessment
  • Financial Report Analysis System (Co-I): Local LLM for report summarization, attribution, and risk detection

awards and honours

  • Shandong Province Outstanding Graduate, 2020
  • Excellent Master Thesis Award, Shandong University, 2020
  • Excellent Undergraduate Thesis Award, Shandong University, 2017
  • Outstanding Student Leader, Shandong University, 2015