PhD: The Johns Hopkins University, Civil Engineering
MSc: The Johns Hopkins University, Civil Engineering
Mehdi is a published data scientist with six years of experience in turning data into insights. Mehdi has built machine learning platforms and models for healthcare organizations, local law enforcement and governments institutions to improve operations and resource utilization. His recent interest include using sequence RNNs for speech recognition. Mehdi is also experienced in the application of optimization and stochastic simulation to a variety of engineering and health care related projects.
Selected Publications, News and Honors
- Jalalpour, M., Gel, Y., & Levin, S. (2015). Forecasting demand for health services: Development of a publicly available toolbox. Operations Research for Health Care, 5, 1-9.
- Dugas, A. F., Jalalpour, M., Gel, Y., Levin, S., Torcaso, F., Igusa, T., & Rothman, R. E. (2013). Influenza forecasting with Google flu trends. PloS one, 8(2), e56176.
- Amini, K., Jalalpour, M., & Delatte, N. (2016). Advancing concrete strength prediction using non-destructive testing: Development and verification of a generalizable model. Construction and Building Materials, 102, 762-768.
- Beheshti, R., Jalalpour, M., & Glass, T. A. (2017). Comparing methods of targeting obesity interventions in populations: An agent-based simulation. SSM-population health, 3, 211-218.