Research Projects

Our lab conducts cutting-edge research projects that push the boundaries of knowledge and create real-world impact. Each project combines rigorous scientific methods with innovative computational approaches.

NeuroLink AI: Next-Generation Brain-Computer Interfaces featured image

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 featured image

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 featured image

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 featured image

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
CancerSeq AI: Precision Oncology Through Genomic Analysis featured image

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.

Sarah Johnson
ClimateAI: Machine Learning for Climate Prediction & Mitigation featured image

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