Student Name: Martynas Pocius
Institution: UCL
Supervisors: Dr Laura Panagiotaki
I am a recent MEng Biomedical Engineering graduate from UCL with a strong interest in AI and digital health. My professional journey includes working as a Data Engineer in a wearable technology startup, where I focused on activity/sleep analysis algorithms, and as an ML Engineer at Autodesk, where I developed domain-specific large language models. Beyond my studies and work, I have been deeply involved in the UCL AI Society and co-founded the AI Foundry, an incubator program supporting AI-driven start-ups.
My research interests lie in the intersection of AI, healthcare, and generative models. Previously, I worked with the UCL CANDI research group, focusing on weakly supervised models for prostate cancer localization in MR imaging, aiming to train PPO model for prostate cancer lesion localisation. Additionally, my role at Autodesk allowed me to explore fine-tuning large language models for domain-specific knowledge base using graphs and developing diffusion models for 3D asset generation.