Applied Research Scientist & Trustworthy AI Engineer

I am passionate about mentoring students, fostering interdisciplinary collaboration, and translating research into impactful solutions for society.

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Engineer

Researcher

Educator

Hi, I'm Dr. Jamell Dacon

Applied Research Scientist & Trustworthy AI Engineer

Morgan State University

I am a (Tenure-Track) Assistant Professor in the Department of Computer Science at Morgan State University, where I serve as the Director & Lead Principal Investigator of the Machine Intelligence and Data Science (MINDS) Lab, and a faculty at the Center for Equitable Artificial Intelligence and Machine Learning Systems (CEAMLS).

I am a computer scientist focused on trustworthy AI for education, health, and language justice. My research develops robust, interpretable, and equitable AI systems for high-stakes human domains, with work spanning NLP, learning analytics, clinical decision support, and computational social science. My work is driven by a commitment to advancing equitable AI research that addresses real-world challenges and promotes social good.

News & Updates

I am always interested in collaborating on interdisciplinary research, innovative AI initiatives, educational programs, and projects that drive meaningful scientific and societal impact.

Curriculum Vitae Publications

Research Areas

My research focuses on trustworthy AI for socially consequential domains, with emphasis on education, health, language justice, and robust machine learning.

Trustworthy NLP and Language Justice

I study bias, robustness, dialect variation, harmful language, and fairness in language technologies, with a focus on African American English and other underrepresented language varieties.

Educational AI and Learning Analytics

I develop AI systems that support teaching, learning, and student feedback, including robust educational retrieval, co-regulation, and evaluation under distribution shift.

Health AI and Clinical Decision Support

I build personalized, data-driven AI for chronic disease management, predictive analytics, and scalable health informatics in high-stakes clinical settings.

Computational Social Science and Equity Analytics

I apply AI and data science to study social harms, public discourse, incarceration, inequity, and the societal impacts of algorithmic systems.

AI Robustness, Interpretability, and Distribution Shift

I develop methods that improve reliability, generalization, interpretability, and methodological rigor in AI systems used in high-stakes domains.

Collaboration and Community Engagement

I engage in interdisciplinary collaboration and community engagement to ensure that AI research and development are aligned with societal needs and values.

Resume

Applied Research Scientist & Trustworthy AI Engineer specialized in developing robust, interpretable, and equitable AI systems for education, health, language justice, and computational social science.

Professional Experience

My professional experience spans research, teaching, mentorship, and interdisciplinary collaboration across artificial intelligence, machine learning, computational linguistics, healthcare AI, and computing education.

2023 - Present

Assistant Professor (Tenure-track)

Morgan State University

Assistant Professor of Computer Science & Research Faculty at the Center for Equitable Artificial Intelligence and Machine Learning Systems (CEAMLS). Research focuses on developing robust, interpretable, and human-centered AI systems for complex societal domains—including healthcare, education, and the social sciences—to improve decision-making, and drive large-scale societal impact.

Service Research Teaching

2022 - 2023

Research Scientist

Google LLC

Research interests span Multi-modal Machine Learning, Natural Language Processing, and Computational Linguistics, with a focus on developing human-centered AI systems to identify communicative trends between language and canonical features.

Research Optimization Collaboration

2022

Machine Learning Scientist

Agile Analytics Team, Kimberly-Clark

Specialized in predictive modeling and machine learning optimization to enhance supply chain delivery productivity and model reliability.

Automation Optimization Governance

Education & Qualifications

My academic background is rooted in computer science and mathematics, with a focus on artificial intelligence, machine learning, computational linguistics, and data science. I have a strong foundation in research methodologies, interdisciplinary collaboration, and the development of AI systems for socially impactful applications.

Doctor of Philosophy

Michigan State University

Computer Science

2020 - 2023

NSF IMPACTS Graduate Research Fellowship (GRFP)

Master of Science

Michigan State University

Computer Science

2018 - 2020

University Enrichment Fellowship

Bachelor of Science

City University of New York - Medgar Evers College

Mathematics

2014 - 2018

Magna Cum Laude

Associate of Science

City University of New York - Medgar Evers College

Computer Science

2016 - 2017

Summa Cum Laude

Technical Skills

Expertise spanning artificial intelligence, machine learning, computational linguistics, data science, and interdisciplinary computing research.

Building human-centered AI systems through research, interdisciplinary collaboration, and computational innovation.

Artificial Intelligence & Machine Learning

Core AI, ML, and data-driven modeling expertise

Machine Learning 95%

Natural Language Processing 93%

Deep Learning 91%

Computational Research

Research methodologies and interdisciplinary analysis

Data Science & Analytics 94%

Computational Linguistics 90%

Healthcare & Social AI 88%

Leadership & Mentorship

Academic leadership, collaboration, and mentorship

Research Leadership 92%

Teaching & Mentorship 94%

Interdisciplinary Collaboration 91%

Research Experience

Years

Conducting interdisciplinary research in artificial intelligence, computational linguistics, and data science.

Primary Technologies

Python

PyTorch

TensorFlow

Pandas

C++

Hugging Face

Recent Achievements

2026

CRA Trustworthy AI Fellowship

2026

Google Generative AI Leader Certification

2026

Most Outstanding Professor Award

Contact

Feel free to reach out regarding research collaborations, speaking opportunities, interdisciplinary projects, or discussions related to artificial intelligence, data science, and computing education.

Let's Connect!

I’m always open to discussing research, innovation, mentorship, and collaborative opportunities.

Email jamell.dacon@morgan.edu

Research & Collaboration

Have questions or want to collaborate on AI research? Feel free to reach out — I’m always excited to connect with fellow researchers, innovators, and organizations.

Disclaimer

Any opinions, findings, conclusions, or recommendations expressed on this website are those of the author and do not necessarily reflect the views of any organization.