causal inference , Jax, Pytorch, Bayesian deep learning, ensemble uncertainty quantification, PINNs methodology, Bayesian experimental design, structural causal models, causal discovery, active learning acquisition function design

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

Open Source, Machine Learning, Artificial Intelligence, C++, Natural Language Processing, Tensorflow, Data Science, Pytorch, Python, Fundraising, Modelling, Publications, Publishing, Protein Purification

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

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

Pytorch, Cuda, Python, LLM and foundation models

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

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