Bioinformatics & Computational Biology
Bioinformatics and computational biology utilize biologically inspired AI and ML methods to solve complex problems and applies data mining to biological experiments.
Bioinformatics and computational biology utilize biologically inspired AI and ML methods to solve complex problems and applies data mining to biological experiments.
Topics
Application of mathematical methods across the biological sciences
Cognitive science
Computational and predictive medicine
Computational neuroscience
Big data methods for genome sequencing
Biological data mining
Biomechanics for vehicle design
Biomedical imaging
Comparative RNA sequence analysis
Fast numerical and statistical algorithms
Favorable multi-molecular and cellular complexes prediction search/scoring engines
Fractals for biomedical image analysis
fMRI technology
Genomics
Grounded language representation
Health Informatics
Language semantics
Learning to extract knowledge from biomedical literature
Neural network models of natural language processing and vision
Neuroevolution
Phenomenological models
Predicting gene-disease associations
Statistical analysis and interrogative visualization of neuronal form-function
Understanding how the human brain processes language