Keynote: AI for Scientific Discovery
Keynote presentation on machine learning applications in computational biology and drug discovery.
Monthly Lab Seminar: Recent Advances in Quantum Materials
Dr. Maria Rodriguez presents recent breakthroughs in quantum materials discovery using machine learning.
Maria-Rodriguez
Hands-On Workshop: Machine Learning for Computational Biology
Interactive workshop teaching ML techniques for genomic data analysis and protein structure prediction.
NeuroLink AI: Next-Generation Brain-Computer Interfaces
Developing AI-powered brain-computer interfaces that can decode complex neural signals to restore mobility and communication for patients with neurological disorders.
Dr. Sarah Kim
QuantumML: Machine Learning for Quantum Materials Discovery
Accelerating the discovery of quantum materials for next-generation electronics and energy technologies through machine learning-guided computational design.
Dr. Maria Rodriguez
MoleculeAI: Machine Learning Platform for Drug Discovery
An integrated AI platform for accelerating small molecule drug discovery through advanced machine learning models, molecular simulation, and experimental validation.
Dr. Alex Wong
DeepFold: AI-Powered Protein Structure Prediction
Developing next-generation deep learning models to predict protein structures with unprecedented accuracy, accelerating drug discovery and understanding biological mechanisms.
Dr. Michael Chen
ClimateAI: Machine Learning for Climate Prediction & Mitigation
Advancing climate science through machine learning to improve prediction accuracy, understand extreme weather patterns, and accelerate carbon capture technology development.
Dr. Elena Vasquez