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Edin Sabic, Ph.D.
firstname.lastname@example.org – (515)745-1135 – https://www.linkedin.com/in/edin-sabic/
UX Manager, Root Insurance
June 2021 – Present
◈ Designed and conducted primary research using a diverse range of methods
◈ Collaborated cross-functionally with designers, researchers, and PMs
◈ Prioritized and scoped research plans while aligning with stakeholder needs
◈ Communicated research findings through presentation, artifacts, and reports
◈ Provided guidance for team members and fostered professional development
◈ Developed and administered Qualtrics surveys to investigate customer attitudes
Director of Research, Electronic Caregiver
April 2020 – May 2021
◈ Led and supervised a team of healthcare analysts, researchers and writers
◈ Spearheaded domestic and international product research studies
◈ Translated business problems and questions into testable hypotheses
◈ Defined User Experience (UX) standards and methods for product evaluation
◈ Delivered research findings and strategies to stakeholders and collaborators
◈ Outlined efficient team procedures and workflows through an agile philosophy
Product Researcher, Electronic Caregiver
March 2019 – March 2020
◈ Designed research protocols for evaluating product usability and experience
◈ Conducted machine learning research using scikit-learn and TensorFlow
◈ Analyzed questionnaire and interview data to produce UX reports
◈ Contributed to company AWS infrastructure through SageMaker, S3, Lambda
User Experience Research Intern, John Deere
April 2018 – August 2018
◈ Defined and executed UX research concerning semi-autonomous vehicles
◈ Orchestrated semi-structured interviews with subject-matter experts
◈ Presented experimental results to organizational stakeholders to improve UIs
Quantitative Researcher, Hearing Enhancement and Augmented Reality Laboratory
August 2017 – May 2020
◈ Conducted research in AR speech perception for an SC1 NIH Grant ($865,000)
◈ Executed 10+ time-sensitive human factors and perception research studies
◈ Programmed experiments and analyzed data using Python, MATLAB, and SPSS
◈ Developed spatial filtering and signal processing components for hearing devices
Research Assistant, U.S. Department of Veterans Affairs/PreACT Lab
September 2014 – May 2015
◈ Organized and conducted healthcare research in alleviating post-surgical pain
◈ Supervised recruitment efforts for an NIH grant involving U.S. veterans
New Mexico State University, Las Cruces, NM | August 2015 – May 2020
Ph.D., Experimental Psychology NMSU GPA: 3.97/4.0
◈ 12 Publications, 7 Conferences, 5 Research Symposia
◈ Dissertation: Eye Movements and Machine Learning: Predicting User Search
The University of Iowa, Iowa City, IA | August 2010 – May 2014
B.A., Psychology and German
◈ Python: Advanced
◈ MATLAB: Advanced
◈ R: Intermediate
◈ English: Native
◈ German: Advanced
◈ Croatian: Intermediate
◈ Quantitative/Qualitative Data Analysis ◈ Experimental Design ◈ Statistics
◈ UX ◈ Python ◈ Machine Learning ◈ Data Visualization ◈ AWS Certified
◈ Survey Design ◈ Academic/Technical Writing ◈ SPSS ◈ Public Speaking ◈ Leadership
Šabić, E., Henning, D., Myuz, H., Morrow, A., Hout, M.H., & MacDonald, J. A. (2020). Examining the role of eye movements during conversational listening in noise. Frontiers in Psychology, 11, 200.
Šabić, E., Chen, J., & MacDonald, J. (2019). Towards a Better Understanding of InVehicle Auditory Warnings and Background Noise. Human Factors. doi: 10.1177/0018720819879311.
Šabić, E., Henning, D., & MacDonald, J. (2019, October). Adaptive Auditory Alerts for Smart In-Vehicle Interfaces. To appear in Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 63). Sage CA: Los Angeles, CA: Sage Publications.
Karapetrović, J., Šabić, E., & Dugas, D. V. (2019, July). Community Outreach and the Discovery HPC Cluster: An Analysis of User Profiles and Growth. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) (p. 98). ACM.
Sabic, E., & Chen, J. (2017, September). Left or Right: Auditory Collision Warnings for Driving Assistance Systems. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 61, No. 1, pp. 1551-1551). Sage CA: Los Angeles, CA: SAGE Publications.
Sabic, E., Mishler, S., Chen, J., & Hu, B. (2017, May). Recognition of Car Warnings: An Analysis of Various Alert Types. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2010-2016). ACM.
Sabic, E., & Chen, J. (2016, September). Threshold of Spearcon Recognition for Auditory Menus. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting(Vol. 60, No. 1, pp. 15391543). Sage CA: Los Angeles, CA: SAGE Publications.
Hadlandsmyth, K., Sabic, E., Zimmerman, M. B., Sluka, K. A., Herr, K. A., Clark, C. R., … & Rakel, B. A. (2016). Relationships among pain intensity, pain-related distress, and psychological distress in pre-surgical total knee arthroplasty patients: a secondary analysis. Psychology, health & medicine, 1-12.
2019 NMSU Dissertation Pilot Award ——————————- $6091
2017 NMSU Merit-Based Enhanced Fellowship ——————– $4000
2016 Peter Foltz and Adrienne Lee Graduate Scholarship ——— ~$250
NMSU Psychology Graduate Student Organization President
NMSU Human Factors Ergonomics Society Student Organization President