policy development , C, Optimization Algorithms, Tensorflow, Computer Vision, Pytorch, Python, LLMs, control theory, representation learning, 3D egocentric perception, deep learning frameworks, self-supervised learning, multimodal learning, reinforcement learning, Robotics, embodied AI

causal inference , Jax, Pytorch, Neural ODEs, Bayesian deep learning, Foundation model fine-tuning, Graph neural networks, structural causal models, PINNs methodology, Bayesian experimental design, RL for scientific discovery, causal discovery, active learning acquisition function design, diffusion models

Rust, Pytorch, Python, C++, LLM pretraining, transformer architectures, Hugging Face ecosystem, RLVR-based approaches

Tensorflow, Jax, C, Pytorch, Python, Deep Learning, Generative AI

Natural Language Processing, Pytorch, Computer Vision, C, Tensorflow, Python, Jax, Machine Learning, Large Language Modeling, reinforcement learning

Python, Pytorch, Cuda, LLM and foundation models

Machine Learning, Unsupervised Learning, Python, agentic AI, adversarial machine learning, reverse engineering model behaviors, debugging complex ML failure modes, supervised learning, generative models, investigating emerging technical threats, reinforcement learning, evaluating frontier AI systems, data poisoning, ML safety, prompt injection, ML interpretability, designing robust proactive defense mechanisms, multi-object optimization, adversarial robustness, model backdoor detection, adversarial machine learning AI agent security, red-teaming frontier AI systems

pruning , Pytorch, Python, sim-to-real evaluation, domain adaptation, pre-training, quantisation, Physical AI, Embodied AI, TensorRT, knowledge distillation, edge devices, model compression, embedded platforms, ONNX, Robotics, Foundation Models, real-time AI inference pipelines, Multimodal AI, computational graph optimisation, synthetic data generation