About Me
I am a third-year PhD student in the Measurement, Quantitative Methods, and Learning Sciences (MQM-LS) program at the University of Houston. My research focuses on digital health education, student motivation, grit, engagement, academic procrastination, and self-efficacy. With a strong background in data science and quantitative methods, I aim to leverage advanced statistical techniques and machine learning to address critical challenges in education and health.
My interdisciplinary approach combines expertise in computer science, educational psychology, and public health to generate actionable insights that improve student outcomes and health interventions.
Education
Focus: Quantitative Methods
Research Areas: Digital health education, Health education, Students Motivation, Grits, Engagement, Academic procrastination, and Self-efficacy
Major: Computer Science and Engineering
Research Focus: Machine learning, Data science, and Data mining
Professional Experience
Grant-funded project by the Hispanic Federation (Part-time)
- Managed data operations for multiple health intervention programs, implementing standardized protocols to ensure data integrity and accuracy
- Directed data collection and analysis for the Diabetes Prevention Program and Nutrition Ambassador Program to support evidence-based program evaluation
- Mentored a team of graduate and undergraduate interns on research methodologies and professional development
- Contributed to scholarly publications by performing statistical analysis and assisting with manuscript preparation
- Conducted a comprehensive systematic review to identify and analyze the primary factors contributing to the academic success of first-generation students in the United States
- Investigated the impact of emerging trends on health professions education by analyzing the roles of Artificial Intelligence (AI), grit, and self-efficacy
- Analyzed large-scale nationwide health data (e.g., HINTS) to understand the adoption and impact of wearable health devices among populations with chronic illnesses
- Authored scholarly commentaries and manuscripts on asset-based approaches in education and health
- Synthesized complex research findings and performed statistical analyses for multiple research papers
Full-time
- Led enterprise-wide implementation of generative AI solutions and data science frameworks, driving technological innovation and operational efficiency
- Orchestrated SEO analytics strategy and optimization initiatives, leveraging data-driven insights to enhance digital presence and performance metrics
- Engineered advanced predictive models using PyTorch and scikit-learn, delivering actionable insights for business decision-making
- Designed and executed sophisticated statistical analyses, translating complex data into clear, actionable reports for stakeholders
Publications
Journal Articles
2025
Olvera, N., Scherer, R., Roy, T. J., Chavez Cubas, N. W., Matthews-Ewald, M. R., & Arbona, C. (2025). Visual voices: Hispanic and African American youth perspectives on neighborhood and school health. Children, 12(9), 1165. https://doi.org/10.3390/children12091165
Olvera, N., Scherer, R., Wu, W., Roy, T. J., Matthews-Ewald, M. R., Fan, W., & Arbona, C. (2025). The role of doctor visits, body image discrepancy, and perceived health in predicting medical weight problem diagnosis. Healthcare, 13(17), 2135. https://doi.org/10.3390/healthcare13172135
Roy, T. J., Saha, N., Huynh, A. L., Das, J., Mazumder, H., Hossain, P., & Hossain, M. M. (in revision). Factors influencing academic success of first-generation college students in the United States: A systematic review. Manuscript in revision for the Journal of First-generation Student Success.
Olvera, N., Roy, T. J., Scherer, R., Matthews-Ewald, M., Fan, W., & Arbona, C. (2025). Emotional eating in Hispanic youth: The role of anxiety and sleep quality. Nutrients, 17(9), 1588. https://doi.org/10.3390/nu17091588
2022
Hossain, M. M., Saha, N., Rodela, T. T., Tasnim, S., Nuzhath, T., Roy, T. J., Burdine, J. N., Ahmed, H. U., McKyer, E. L. J., Basu, B. K., & Ma, P. (2022). Global research on syndemics: a meta-knowledge analysis (2001-2020). F1000Research, 11(253), 253. https://doi.org/10.12688/f1000research.74190.2
Conference Proceedings & Presentations
2025
Roy, T. J., Das, J., & Hossain, M. M. (2025, November 2–5). Factors associated with online medical record use among US adults with hypertension: Results from a nationally representative survey [Conference presentation]. American Public Health Association 2025 Annual Meeting & Expo, Washington, DC, United States.
Roy, T. J., Das, J., & Hossain, M. M. (2025, November 2–5). Predictors of health and wellness apps use among smartphone users in the US: Findings from a nationwide study [Conference presentation]. American Public Health Association 2025 Annual Meeting & Expo, Washington, DC, United States.
Roy, T. J., Das, J., & Hossain, M. M. (2025, November 2–5). Prevalence and correlates of wearable health technology use among people with diabetes in the US: Findings from a nationally representative survey [Conference presentation]. American Public Health Association 2025 Annual Meeting & Expo, Washington, DC, United States.
Das, J., Roy, T. J., & Hossain, M. M. (2025, November 2–5). Association between online health information-seeking behavior and perceived health-related misinformation among older adults in the US [Conference presentation]. American Public Health Association 2025 Annual Meeting & Expo, Washington, DC, United States.
Saha, N., Guzman, Y. G., Roy, T. J., Chavez Cubas, N. W., Daniel, P., Nguyen, K., & Olvera, N. (2025, November 2–5). Association between online health information-seeking behavior and perceived health-related misinformation among older adults in the US [Conference presentation]. American Public Health Association 2025 Annual Meeting & Expo, Washington, DC, United States.
Roy, T., Fan, W., Olvera, N., & Arbona, C. (2025, August). The role of self-efficacy and regulation difficulties in predicting academic procrastination [Poster abstract]. American Psychological Association 2025 Annual Convention, Denver, CO, United States.
Roy, T., Saha, N., Nguyen, N., Scherer, R., Fan, W., Arbona, C., & Olvera, N. (2025, August). The role of anxiety, body discrepancy, and sleep on body mass index among Latino youth [Poster abstract]. American Psychological Association 2025 Annual Convention, Denver, CO, United States.
Roy, T., Roy, P., Scherer, R., Fan, W., Arbona, C., & Olvera, N. (2025, August). Emotional eating in Hispanic adolescents: Role of anxiety and sleep quality [Poster abstract]. American Psychological Association 2025 Annual Convention, Denver, CO, United States.
2024
Huynh, A. L., Roy, T. J., Jackson, K. N., Lee, A., & Mahbub Hossain, M. (2024). Effectiveness of AI-based chatbots in healthcare: An umbrella review. https://aisel.aisnet.org/treos_icis2024/130
2022
Ashiq Mahmood, M., Roy, T.J., Ashiqul Amin, M., Roy, D., Mohanta, A., Fayez Dipty, F., & Mitra, S. (2023). A hybrid approach to find COVID-19 related lung infection utilizing 2-bit image processing. In Lecture Notes in Networks and Systems (pp. 119–127). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-2821-5
Roy, T. J., Mahmood, M. A., & Mohanta, A. (2022). An efficient approach to validate COVID-19 related vaccine myths utilizing LDA algorithm. Proceedings of the 2nd International Conference on Computing Advancements, 53–58. https://doi.org/10.1145/3542954.3542963
Roy, T. J., Mahmood, M. A., Mohanta, A., Roy, D., Jyoti, J. T., & Ghosh, P. K. (2022). A machine learning approach to analyze the performance of Bangladesh cricket in T20. 2022 International Conference on Innovations in Science, Engineering and Technology (ICISET), 129–134. https://doi.org/10.1109/ICISET54810.2022.9775839
Roy, D., Roy, T. J., Mahmud, I., & Alvi, N. (2022). An efficient approach to predict fear of human's mind during COVID-19 outbreaks utilizing data mining technique. In Advances in Intelligent Systems and Computing (pp. 41–51). Springer Singapore. http://dx.doi.org/10.2139/ssrn.3852813
2021
Roy, T. J., Mahmood, M. A., & Roy, D. (2021). A machine learning model to predict earthquake utilizing neural network. 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 1–4. https://doi.org/10.1109/IC4ME253898.2021.9768454
Roy, T. J., Mahmood, M. A., & Roy, D. (2021). An efficient approach to identify the key factors of failure of Bangladesh cricket team in test cricket utilizing hypothesis testing and clustering method. 2021 5th International Conference on Electrical Information and Communication Technology (EICT), 1–6. https://doi.org/10.1109/EICT54103.2021.9733495
Roy, T. J., Mahmood, M. A., Mohanta, A., & Roy, D. (2021). An analytical approach to predict the COVID-19 death rate in Bangladesh utilizing multiple regression and SEIR model. 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), 42–45. https://doi.org/10.1109/RAAICON54709.2021.9929470
Roy, D., Mahmood, M. A., Roy, T. J., & Mohanta, A. (2021). A two-step clustering approach to measure soil quality of sundarban based on organic carbon and bulk density. 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), 85–88. https://doi.org/10.1109/RAAICON54709.2021.9929604
Book Chapters
2024
Shelton, L., Nguyen, K., Joseph, T., Roy, T. J., Roy, P., Alarcón, J., & Olvera, N. (in press). How is our community healthy? Program design and lessons learned while training college students to facilitate photovoice projects with children. In The Palgrave Handbook on Participatory Action Research with Children. Palgrave Macmillan.
2023
Roy, D., Mahmood, M. A., & Roy, T. J. (2023). An efficient approach to assess the soil quality of Sundarbans utilizing hierarchical clustering. In Applied Intelligence for Industry 4.0 (pp. 79–89). Chapman and Hall/CRC. https://doi.org/10.1201/9781003256083
Roy, T. J., & Ashiq Mahmood, M. (2023). Global warming and Bangladesh: A machine learning approach to analyze the warming rate utilizing neural network. In Lecture Notes in Electrical Engineering (pp. 19–30). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-8032-9_2
Manuscripts Under Review
Preventing health information disorders (HIDs) in college students: Perspectives on health information hygiene in higher education (2025)
Understanding Medical Weight Problem Diagnosis in Hispanic Women and Men: The Role of Healthcare Utilization, Body Image, and Perceived Health Status (2025)
Manuscripts Under Preparation
The Role of Self-Efficacy and Regulation Difficulties in Predicting Academic Procrastination (2025)
The Role of Anxiety, Body Discrepancy, and Sleep on Body Mass Index Among Latino Youth (2025)
The impact of teacher and student beliefs on math and science engagement (2024)
Research Projects
Conference Presentations
Selected presentations from major conferences showcasing my research in health education, digital health, and educational psychology.
Awards & Recognition:
🏆 Graduate Student Poster Award Finalist - APA Division 15, 2025 (Top 10 from 619 submissions)
Research Projects
Designed and submitted a research study exploring the relationships among motivation, grit, and academic engagement. Received IRB approval (Protocol #STUDY00004949) under 2018 regulatory requirements.
Role: Co-PI
- Led a comprehensive systematic review investigating success factors among first-generation college students in the United States
- Screened and analyzed 32+ peer-reviewed articles
- Developed and implemented systematic search protocols across multiple academic databases
Developed and submitted a research study investigating the impact of coding programs on children's engagement and learning outcomes. Received IRB approval (Protocol #STUDY00004640).
Role: Graduate student
- Engineered an OCR model leveraging TensorFlow's deep learning capabilities and OpenCV
- Implemented an end-to-end text detection and conversion pipeline
- Successfully designed and integrated a categorization system for processing extracted text
Awards & Scholarships
APA Division 15, American Psychological Association Annual Convention, 2025
Selected as one of the top 10 from 619 submissions
Technical Skills
Programming Languages
Python, C, C++, Java, R
Machine Learning
PyTorch, scikit-learn, TensorFlow
Data Analysis
SPSS, Excel, RapidMiner Studio, MPLUS, HLM
Visualization
Matplotlib, Excel, RapidMiner Studio, Tableau, Power BI
Tools & Technologies
LaTeX, Git, Canvas, OpenCV
Certifications
AI Productivity Hacks, Intermediate Python, Prompt Engineering for Generative AI, Social-Behavioral-Educational Research (CITI)
Professional Memberships
American Public Health Association (APHA) - Student Member (2025-Present)
American Educational Research Association (AERA) - Student Member (2023-2024)
Academic Service
Ad Hoc Reviewer
- Cureus Journal of Medical Science (2023-Present)
- JBI Evidence Synthesis (2025-Present)