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
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.
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Decision-Making
Understanding the neural and behavioral mechanisms underlying decision speed and accuracy.
Inhibitory Control
Examining how task demands and cognitive factors influence response speed and accuracy trade-offs.
Motor Learning
Investigating how cognitive demands influence motor planning and the effects of reward on motor learning.
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.
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.
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.
dr.-elena-vasquez