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Barnett P. Chiu has extensive work experience in various data science and research positions. Barnett P. is currently working as a Senior Data Scientist at Envisagenics, where they focus on R&D for AI and data science solutions in RNA therapeutics. Prior to this, they worked as a Senior Data Scientist at Prognos Health, where they were involved in data analysis and modeling.

Before joining Prognos Health, Barnett worked as a Data Scientist and Machine Learning Researcher at the Icahn School of Medicine at Mount Sinai. In this role, they focused on developing a novel ensemble learning framework for predictive analysis in areas such as protein function predictions and disease phenotyping.

Barnett's work experience also includes a position as a Postdoctoral Research Scientist at Columbia University in the City of New York, where they conducted research and developed data and research pipelines. Barnett P. worked on projects such as multi-disease phenotyping and developing an EHR-sequencing framework.

Earlier in their career, Barnett worked as a Research and Development Engineer at IPsoft, where they focused on natural language processing. Barnett P. also gained experience as a Research Associate and Software Engineer at Brookhaven National Laboratory, where they worked on R&D for Grid Computing.

Overall, Barnett P. Chiu has a strong background in data science, machine learning, and research, with expertise in areas such as AI, RNA therapeutics, predictive modeling, and EHR data analysis.

Barnett P. Chiu obtained a Doctor of Philosophy (Ph.D.) degree in Computer Science - Artificial Intelligence from The University of Texas at Arlington in 2011. Prior to this, they earned a Master of Science (M.Sc.) degree in Computer Science from Syracuse University. Barnett P.'sundergraduate education consists of a Bachelor of Science (B.Sc.) degree in Electrical Engineering from Tamkang University. In addition to their formal education, Chiu has obtained several certifications, including Machine Learning Data Lifecycle in Production, Generative Adversarial Networks (GANs) Specialization, TensorFlow: Advanced Techniques Specialization, Advanced Computer Vision with TensorFlow, Build, Train, and Deploy ML Pipelines using BERT, Natural Language Processing Specialization, DeepLearning.AI TensorFlow Developer Specialization, and AI for Medicine Specialization. These certifications were obtained from Coursera between 2020 and 2022.