I am a Ph.D. candidate at University of Massachusetts Amherst researching sustainable transportation infrastructure and pavement management systems under the supervision of Dr. Egemen Okte. My work combines probabilistic modeling, life-cycle assessment, and data-driven optimization to help transportation agencies make more informed and sustainable maintenance decisions.
My research covers stochastic life-cycle cost analysis, environmental impact modeling, and surrogate modeling of pavement-induced vehicle emissions. Through collaborations involving FHWA-supported research and real-world highway networks, I aim to bridge advanced analytical methods with practical infrastructure applications.
Research projects & professional experience.
Active and completed work spanning network-level pavement management, stochastic life-cycle modeling, and pavement–vehicle interaction. Sponsored collaborations with FHWA, Arizona DOT, and Minnesota DOT.
Conference proceedings & presentations.
Selected podium and poster presentations at transportation research conferences in 2026. Click any conference to view the full list of presentations and event photos.
Tools for pavement engineers.
I am developing a set of open tools for pavement engineers covering life-cycle cost analysis, probabilistic performance modeling, and pavement-vehicle interaction assessment. They will be published here as they become available.
In development
Tools are currently being built and tested. Check back soon.
Course-based materials.
I am creating course-based materials on topics I know well, including probabilistic modeling, pavement management, and life-cycle assessment. They will be posted here as they are ready.
Coming soon
Materials are currently being prepared. Check back soon.
Notes & research writing.
Short essays and technical notes on probabilistic modeling, pavement engineering research workflows, and lessons from my Ph.D. work.
In preparation
A series of posts on Bayesian pavement deterioration modeling and reproducible research workflows is in progress. Subscribe by email below or check back soon.