Keynote: AI for Scientific Discovery
Keynote presentation on machine learning applications in computational biology and drug discovery.
Me
Hands-On Workshop: Machine Learning for Computational Biology
Interactive workshop teaching ML techniques for genomic data analysis and protein structure prediction.
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.
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.
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.
CancerSeq AI: Precision Oncology Through Genomic Analysis
Leveraging AI and single-cell genomics to identify personalized treatment strategies for cancer patients, focusing on tumor heterogeneity and drug resistance mechanisms.
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.