Ph.D. graduate in Computer Science with a strong research background in Affective & Data Computing, specializing in AI/ML, Human-Computer Interaction (HCI), and adaptive educational technologies. Expert in designing and executing complex experiments, advanced data analysis using R and Python, and developing innovative solutions for mental health support and educational challenges. Proven ability to translate complex research into impactful applications, evidenced by multiple publications and a track record of mentoring junior researchers.
Research Assistant
Houston, TX, US
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Summary
Led experimental design and advanced data analysis for the NSF-funded Affective Math project, ensuring research integrity and reproducible outcomes.
Highlights
Designed and managed experimental setups for the NSF-funded Affective Math project, ensuring 100% alignment with research goals and maintaining high data integrity.
Led comprehensive data collection, curation, and visualization using R, standardizing analytic methods to enhance reproducibility across research initiatives.
Mentored junior lab members in advanced data techniques, fostering skill development and contributing to collaborative research success.
Researcher
Houston, TX, US
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Summary
Contributed to the NSF-funded Affective Math project, focusing on experimental execution, data integrity, and advanced analytical method development.
Highlights
Conducted the NSF-funded Affective Math project (Award #1760760), executing experiments and training new graduate students to align with project goals.
Led data collection, curation, and visualization processes using R, ensuring high data quality and accuracy across research phases.
Developed and implemented advanced analytic methods, enhancing robust data analysis capabilities and generating actionable insights for the project.
Teaching Assistant
Houston, TX, US
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Summary
Facilitated graduate-level computer science education, leading lab sessions and evaluating student progress across core technical subjects.
Highlights
Prepared and graded assignments, midterms, and semester-long projects for graduate courses including Machine Learning and Data Science II, ensuring rigorous academic standards.
Led programming lab sessions for Statistical Methods in Research and Ubiquitous Computing, providing hands-on guidance to over 100 students per semester.
Achieved a 4.6/5.0 average rating on student evaluations, consistently receiving positive feedback for effective instruction and concept clarification.
Researcher
Baton Rouge, LA, US
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Summary
Designed and executed a master's research project investigating the impact of background music on attention in children using a brain-computer interface.
Highlights
Developed and implemented an experimental protocol using an innovative brain-computer interface to study the effects of background music on attention in children with ADHD.
Conducted experiments with diverse participant groups (ADHD and non-ADHD), collecting critical data for neurological and behavioral analysis.
Analyzed research findings and disseminated comprehensive results through a published paper and an M.S. thesis, significantly contributing to the academic literature.
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Ph.D.
Computer Science
Grade: 3.5 GPA
Courses
Statistical Methods in Research
Ubiquitous Computing
Affective Computing
Human-Computer Interaction
Physiological Signal Processing
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M.S.
Computer Science
Grade: 3.5 GPA
Courses
AI
ML
Video Game Design
Scientific Info Visualization
Brain Computer Interaction
ADHD
Serious Games
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B.S.
Computer and Instructional Technologies Education
Grade: 3.0 GPA
Courses
Material Design
Programming Languages
AI
Distance Learning
Published by
IEEE Transactions on Affective Computing
Summary
Authored research on a multimodal affective study demonstrating how video-based question formats can reduce stress during math tests.
Published by
ACII '25: Affective Computing and Intelligent Interaction Conference
Summary
Co-authored a paper for ACII '25, investigating the correlation between facial self-touches and mental stress in knowledge work environments.
Published by
IEEE Transactions on Affective Computing
Summary
Co-authored a publication introducing STREL, a naturalistic dataset and methodology for analyzing stress and relaxation patterns in high-stakes professional roles.
Published by
Death Studies
Summary
Co-authored a study published in Death Studies, exploring the mediating role of positivity in managing state anxiety and problematic social media use during the COVID-19 pandemic.
Published by
4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
Summary
Co-authored and presented research on EEG analysis to quantify brain activity states, examining the impact of background music in a serious game on children's attention.
Published by
Louisiana State University and Agricultural & Mechanical College
Summary
Authored Master's thesis investigating the effects of background music on children's attention using EEG signals within a serious game context.
Issued By
University of Houston
Issued By
University of Houston
Issued By
University of Houston
Python, R, Swift, C++, Julia.
R Studio, Google Colab, AWS S3, Tableau, Paraview.
MacOS, iOS, WatchOS, MS Windows, Linux, Bash, Cluster Computing.
Pandas, Plotly, Scikit-learn, Xcode, SwiftUI, Canvas, Figma, Sketch.
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Summary
Presented research findings at the Affective Computing Intelligent Interaction conference in Canberra, Australia.
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Summary
Showcased doctoral research at the University of Houston's Computer Science PhD Research Showcase.
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Summary
Participated in the Affective Computing Intelligent Interaction conference held at The MIT Media Lab, Cambridge, MA, USA.
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Summary
Participated in the 4th International Symposium on Multidisciplinary Studies and Innovative Technologies.