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Roche-Lima, Abiel

One or more keywords matched the following properties of Roche-Lima, Abiel

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overview	Dr. Roche-Lima has a broad background applying computer science to complex biological data. He joined the Medical Science Campus, University of Puerto Rico (MSC-UPR), where he works on providing data science services and research for biomedical projects. He has expertise on using existing tools for analysis, visualization and interpretation of biomedical data, as well as developing and implementing new computational tools for these purposes. Specifically, Dr. Roche-Lima focuses his research on biomedical data science as the application of machine learning methods for prediction, analysis and interpretation of biomedical data. His research long-term goal is to incorporate data to develop more precise models and tools for personalized medicine to reduce health disparities. Dr. Roche-Lima is also the Director of the Integrated Informatics Service core (IIS) RCMI project, which is a federal funded project for minority institutions at MSC-UPR. The goal of this core is to provide one point of contact to assist researchers with the general aspects of biomedical data science (as bioinformatics, health informatics and operational informatics) as they apply to the biomedical science research, through the internal and external collaborations. Education: 2015 PhD in Computer Science (Bioinformatics). University of Manitoba, Canada. 2001 Master in Computer Science. University of Santa Catarina. Brazil. 1993 Bachelor in Computer Science, University of Havana, Cuba.

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overview

Dr. Roche-Lima has a broad background applying computer science to complex biological data. He joined the Medical Science Campus, University of Puerto Rico (MSC-UPR), where he works on providing data science services and research for biomedical projects. He has expertise on using existing tools for analysis, visualization and interpretation of biomedical data, as well as developing and implementing new computational tools for these purposes. Specifically, Dr. Roche-Lima focuses his research on biomedical data science as the application of machine learning methods for prediction, analysis and interpretation of biomedical data. His research long-term goal is to incorporate data to develop more precise models and tools for personalized medicine to reduce health disparities. Dr. Roche-Lima is also the Director of the Integrated Informatics Service core (IIS) RCMI project, which is a federal funded project for minority institutions at MSC-UPR. The goal of this core is to provide one point of contact to assist researchers with the general aspects of biomedical data science (as bioinformatics, health informatics and operational informatics) as they apply to the biomedical science research, through the internal and external collaborations. Education: 2015 PhD in Computer Science (Bioinformatics). University of Manitoba, Canada. 2001 Master in Computer Science. University of Santa Catarina. Brazil. 1993 Bachelor in Computer Science, University of Havana, Cuba.

One or more keywords matched the following items that are connected to Roche-Lima, Abiel

Item Type	Name
Academic Article	Implementation and comparison of kernel-based learning methods to predict metabolic networks.
Academic Article	Bioinformatics algorithm based on a parallel implementation of a machine learning approach using transducers.
Academic Article	Learning stochastic finite-state transducer to predict individual patient outcomes.
Academic Article	Machine Learning Algorithm for Predicting Warfarin Dose in Caribbean Hispanics Using Pharmacogenetic Data.
Academic Article	Machine Learning Prediction Models for?In-Hospital Mortality After Transcatheter Aortic Valve Replacement.
Academic Article	Reply: Leveraging Machine Learning to Generate Prediction Models for Structural Valve Interventions.
Academic Article	Machine-Learning-Based In-Hospital Mortality Prediction for Transcatheter Mitral Valve Repair in the United States.
Academic Article	A Parallel Conditional Transducer Learning Algorithm Applied to Bioinformatics
Academic Article	Supervised Learning Methods based on Finite-State Transducers to Classify Physiological Data
Academic Article	Supervised Learning Methods to Infer Metabolic Network using Sequence and Non-sequence Kernels
Academic Article	A novel artificial intelligence-based approach for identification of deoxynucleotide aptamers.
Academic Article	Evaluation of AIML + HDR-A Course to Enhance Data Science Workforce Capacity for Hispanic Biomedical Researchers.
Academic Article	A MACHINE LEARNING-BASED APPROACH TO EPILEPTIC SEIZURE PREDICTION USING ELECTRO-ENCEPHALOGRAPHIC SIGNALS.
Academic Article	Antimalarial Drug Combination Predictions Using the Machine Learning Synergy Predictor (MLSyPred?) tool.
Academic Article	Unsupervised machine learning method for indirect estimation of reference intervals for chronic kidney disease in the Puerto Rican population.

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