Artificial Intelligence Researcher
Hi there! I am an AI researcher who loves everything deep learning and robotics. I specialize in applying generative AI to scientific challenges and leveraging reinforcement learning for planning. I've published papers on applications of deep learning to planning, robotic control, high energy physics, astronomy, chemical synthesis, and biology. Here are some fantastic organizations that I am part of who let me work on all of these projects.
Generative Transformer Models for Inverse Problems in Particle Physics
Conducting advanced AI research with applicability in particle physics, chemistry, astronomy, and biology. Inventing novel neural network architectures that incorporate physical symmetries and domain insights. Spearheading the development and execution of deep learning experiments, managing intricate cross-domain data sets, and efficiently employing large-scale compute clusters.
Conducting in-depth research in deep reinforcement learning, targeting its practical applications in robotics, planning, and competitive multi-agent environments. Produced headlining results by engineering the first RL agent capable of learning to solve the Rubik's Cube without reliance on human knowledge.
Pioneering machine learning and generative AI innovations in high-energy physics to enhance detection of rare interactions involving the Higgs Boson. Integrating physical symmetries into state-of-the-art transformer and diffusion models. Developing software libraries widely employed across CERN to accelerate the search for new physics.
Developed fully automated AI solutions to detect and adapt to fraud on a global scale. Designed innovative reinforcement learning techniques to identify shifts in customer behavior and swiftly adjust strategies to prevent losses. Led the implementation of interpretable fraud AI systems.
Pioneered the design of advanced multi-agent reinforcement learning systems for green energy solutions and industrial control mechanisms. Achieved breakthroughs in ensuring the safety and reliability of AI implementations, significantly reducing the cost of energy from wave-powered renewable energy sources.