Summary
Adrian Xu is a materials scientist turned AI leader with nine years of experience applying deep learning, reinforcement learning and GNNs to materials and drug discovery, energy storage, and industrial process optimization. He holds a PhD from UCL and has moved from hands-on battery and catalyst research into building and leading AI teams and client-facing technical sales at Silo AI, now managing life sciences partnerships for computationally aided drug design. Adrian combines practical lab experience (continuous hydrothermal synthesis, battery testing) with production ML skills (PyTorch, TensorFlow, Azure) and mobile app development, having co-founded a mental-health deep learning startup. He edits GradientCrescent, signaling a commitment to communicating applied AI, and has a background in GenAI/LLM-RAG, proteomics/AlphaFold applications and chemistry-focused ML screening pipelines. Pragmatic and cross-disciplinary, he thrives at the intersection of academia, startups and enterprise delivery, often translating complex research into scalable commercial solutions.
9 years of coding experience
11 years of employment as a software developer
Deep Reinforcement Learning Nanodegree, Deep Reinforcement Learning Nanodegree at Udacity
Helsingin Suomalainen Yhteiskoulu
University College London