Machine Learning, Computer Vision, System Design, human-robot interaction, Modeling, learning from demonstration, vision language models, reinforcement learning, motion planning, sim-to-real transfer, large-scale recommendation systems, digital agents, Robotics, dexterous manipulation, egocentric perception, 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

Machine Learning, Cnn, Deep Learning, Tensorflow, Rnn, Pytorch, Python, Transformer, LSTM, ViT, MxNet, Caffe, Model Compression

Pytorch, Cuda, Python, LLM and foundation models

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

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