Move Beyond the Black Box. Make AI Your Next Move.

Developing the use of machine intelligence for scientific discovery in planetary science and space physics.

Creating AI systems that are both effective and interpretable, with a particular emphasis on applications in neural signal analysis and medical imaging.

Advancing artificial intelligence and deep learning for medical imaging to improve disease diagnosis, monitoring, and clinical decision support.

Leveraging machine learning to accelerate multiscale simulations for renewable energy materials.

Applying AI and generative modeling to decode biological systems and advance computational approaches for molecular and cellular discovery.

Working at the interface of machine learning (ML), AI and computational chemistry for the discovery of molecules and materials for energy, optical and catalysis applications.

Developing multilingual AI systems that improve language understanding and representation for underrepresented languages and populations.

Applying a trans feminist lens to address challenges of power, participation, and justice in AI governance systems.

Advancing AI and machine learning approaches to understand how the brain represents, learns, and navigates the world, informing the development of more intelligent systems.

Applying AI and machine learning to medical imaging and healthcare challenges to improve cancer diagnosis, treatment planning, and clinical decision support.

Creating privacy-preserving machine learning methods that enable secure data analysis while addressing challenges in AI privacy, security, and user trust.

Creating intelligent robotic systems through reinforcement learning and continual learning, enabling machines to acquire new skills and adapt through experience.

Advancing clinical AI and natural language processing to improve the safe, equitable, and effective deployment of machine learning in healthcare.

Developing AI models for biological discovery to understand complex living systems, evolution, and biodiversity.

Using AI and machine learning to uncover the principles of intelligence, cognition, and learning in humans and machines.