Rick Rejeleene

Large language models, natural language processing, machine learning in healthcare education, generative AI, AI evaluation, information quality, brain-inspired AI systems, reflective writing analysis, simulation, and assessment support for medical education.

Machine Learning Researcher – Special Fellow, Artificial Intelligence at Cleveland Clinic (2024-11 – Present)

• Conducted applied research on large language models and artificial intelligence methods for healthcare education, with emphasis on feedback, assessment, simulation, and reflective writing analysis.
• Developed AI-driven educational tools for communication coaching, learner feedback, and clinician-facing learning support.
• Designed and evaluated large language model applications for medical education workflows, assessment support, simulation, and reflective writing analysis.
• Co-authored scholarly work on clinician-focused generative AI and brain-inspired architectures for improving abstract reasoning and planning in large language models.

Machine Learning Researcher, Jawahar Mehta Lab at University of Arkansas Medical School (2023-06 – 2024-11)

• Conducted research on applying machine learning algorithms to cardiology-related problems.
• Developed machine learning models to improve myocardial infarction diagnosis in South Asian populations.
• Investigated major risk factors contributing to myocardial infarction among South Asians.
• Published findings in cardiovascular and AI-related venues.

Machine Learning Researcher at United States Food and Drug Administration (2020-08 – 2022-12)

• Formulated machine learning algorithms to measure and describe creativity.
• Implemented generative models including VAE, GAN, and Seq2Seq for image classification datasets.
• Applied language and vision models to classification tasks.
• Performed document text extraction for image classification datasets.

Software Engineer at Collaboratorium for Social Media and Online Behavioral Studies (2019-08 – 2020-06)

• Designed jQuery scripts for a new user interface and developed JavaScript features for the admin panel.
• Introduced and implemented the moviebarcode concept for video summarization and managed the GitHub codebase.

Product Operations Manager at Triblio (2018-06 – 2019-05)

• Managed an advertising portfolio of $1.2M USD and helped grow it to $3.0M.
• Programmed UI automation test scripts using Jasmine and Selenium and coordinated client issues across teams.

Data Scientist at Cru (2017-07 – 2018-05)

• Developed preprocessing workflows for data gathering, visualization, and analysis.
• Applied R and Python to business KPI analysis, dataset curation, and stakeholder reporting.

Computing Teacher (Supported by NSF) at Academy for Career Exploration (2017-01 – 2017-06)

• Developed a 3-month programming curriculum for Rhode Island high schools.
• Established a data science curriculum and coached students toward computer science college programs.

Doctorate in Computer and Information Science in Computer Science – University of Arkansas (2019-09 – 2024-05)

Master's in Computer Science in Computer Science – University of Rhode Island (2014-01 – 2017-05)

Bachelor of Technology in Computer Science and Engineering in Computer Science and Engineering – SRM University (2009-09 – 2013-05)