Java, C, C++, Program analysis techniques, Android executables, Large-language model fundamentals, Software security problems and solutions, AI-based binary analysis framework, Android architecture

Jax, Pytorch, Python, reinforcement learning

Machine Learning, Python, Ubuntu, Linux command line, Robotics simulation

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

Machine Learning, Unsupervised Learning, agentic AI, adversarial machine learning, supervised learning, generative models, reinforcement learning, evaluating frontier AI systems, ML safety, ML interpretability, multi-object optimization, adversarial robustness