Biography
Mohsen Bahrami is a Research Scientist at the MIT Sloan Initiative on the Digital Economy and a part-time faculty member at Northeastern University. He holds a Ph.D. in Operations and Information Management, with a specialization in Business Analytics, from Sabancı University.
His research focuses on applied artificial intelligence, decision intelligence, computational social science, and data-driven systems for business and societal decision-making. He develops analytical methods and AI-enabled platforms that transform large-scale behavioral, mobility, geospatial, transactional, and alternative data into actionable insights. His work integrates machine learning, mathematical modeling, large language models, privacy-safe data science, and decision-support systems.
His primary research and professional interests include:
- Applied artificial intelligence and LLM-enhanced analytics
- Decision intelligence and AI-assisted decision-support systems
- Computational social science and behavioral analytics
- Human mobility and geospatial modeling
- Urban accessibility and location intelligence
- Customer behavior, market potential, and merchant performance modeling
- Privacy-safe analytics using large-scale alternative data
- Cloud-based AI and analytics platforms
His current and ongoing work includes developing AI-assisted location decision-support systems, studying changes in urban shopping mobility and socioeconomic inequality, creating dynamic measures of urban accessibility, predicting merchant and business performance using privacy-safe behavioral features, and developing practical AI systems that translate complex data into interpretable recommendations for organizations and public-sector decision-makers.
At Northeastern University, he teaches graduate courses in data analytics, artificial intelligence, Python, database management systems, SQL, business analytics, and applied analytics capstone projects. His teaching emphasizes experiential and project-based learning, in which students use Python, SQL, cloud technologies, machine learning, data visualization, generative AI, and database systems to address real-world organizational and business problems.
His notable accomplishments include:
- Research Scientist at the MIT Sloan Initiative on the Digital Economy
- Former Research Scientist and Postdoctoral Associate at MIT Connection Science
- Research experience with the MIT Media Lab Human Dynamics Group
- Peer-reviewed publications in journals including Nature Communications, Nature Humanities and Social Sciences Communications, Scientific Reports, and npj Digital Medicine
- Research contributions in applied AI, computational social science, human mobility, behavioral modeling, public health analytics, geospatial intelligence, and privacy-safe prediction
- Recipient of research recognition and support from the Marketing Science Institute
- Interdisciplinary collaborations involving academic institutions, technology companies, financial organizations, healthcare organizations, retailers, telecommunications providers, and public-sector partners
- Development of applied AI, cloud analytics, and decision-support platforms for research and graduate education
Dr. Bahrami’s work bridges academic research, industry-facing analytics, and experiential education. He is particularly interested in developing responsible, interpretable, and deployable AI systems that move beyond model development to support real-world decisions. Through his research and teaching, he helps students and collaborators translate complex data, analytical models, and emerging AI technologies into practical solutions with measurable organizational and societal value.
