Professional Interests
            
                I do machine-learning research and development. Research areas include:
                
                    - 
                        Model Fairness
                        
                            - 
                                Explainable post-training bias mitigation with distribution-based fairness metrics
 [link]
                            
 
                            - 
                                Wasserstein-based fairness interpretability framework for machine learning models [link]
                            
 
                            - 
                                Model-agnostic bias mitigation methods with regressor distribution control for Wasserstein-based fairness metrics [link]
                            
 
                        
                     
                    - 
                        Model Explainability
                        
                            - 
                                MbExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings [link"]
                            
 
                        
                     
                    - 
                        Building and Testing Deep-Learning Models
                    
 
                    - 
                        Exploring Process Improvements for Conventional Model Building
                    
 
                
            
            Personal Interests
            
                
                    - 
                        Algorithmic Art
                        
                    
 
                    - 
                        Simulations
                        
                    
 
                    - Animal Welfare and Vegan Food
 
                
            
            Unprofessional Interests
                
                    
                
            Contact Me
            
                I can be reached at ryanfranks1996 AT gmail.com