Decision-making is becoming increasingly complex as data expands and resources decrease. My research centers on using prescriptive (integer optimization) and predictive (machine learning) analytics, together with algorithms, to effectively allocate scarce resources. My work employs mathematical modeling and the development of methods and tools to benefit vulnerable and marginalized individuals, groups, and populations.

The convergence of novel analytical technologies and open-source software can create solutions that improve quality of life, increase fairness, restore dignity, and make significant societal impact. Active research areas include placement optimization in refugee resettlement, human trafficking, and foster care. My research is supported by the National Science Foundation (Operations Engineering) grants CMMI-1825348, CMMI-1841893, the Ragnar Soderberg Foundation, and others.

My scholarship deeply influences students. Through research involvement and related projects, students make contributions that expand the current boundaries of knowledge. Many go on to earn graduate degrees and have productive and influential careers. If you are interested in learning more, visit my personal site: http://users.wpi.edu/~atrapp/, or email me.

I am Associate Professor of Operations and Industrial Engineering at WPI, hold a Ph.D. in Industrial Engineering from the University of Pittsburgh, and publish in journals such as Operations Research, INFORMS Journal on Computing, European Journal of Operational Research, IISE Transactions, Decision Support Systems, Discrete Optimization, IJCAI, Socio-Economic Planning Sciences, Journal of Cleaner Production, Journal of Combinatorial Optimization, Health Systems, and Bioinformatics.