Mohammad Soltaniehha is a Clinical Assistant Professor in the Information Systems Department at Boston University’s Questrom School of Business. His research focuses on embodied AI and interactive avatars, socially impactful applications of LLMs, and ML applications in economic and cancer research.

Before joining BU in 2018, Mohammad worked as a Data Scientist at Infor’s Dynamic Science Labs, where he designed and built data-driven applications, including customer churn forecasting, time-series anomaly detection, inventory optimization, and lead scoring. His academic foundation is in computational physics: he earned his Ph.D. from Northeastern University, where he studied low-dimensional strongly correlated quantum systems using advanced computational techniques.

Mohammad teaches courses spanning big data analytics, Python and R programming, cloud computing, database management, and business analytics. He is a strong advocate for data science education and founded the APS Topical Group on Data Science (GDS) in 2018 to create educational opportunities for scientists transitioning into the field. He currently serves on the American Physical Society’s Board of Directors and is Editor-in-Chief of DSECOP, an initially APS- and more recently, AIP-funded initiative that integrates data science into undergraduate physics curricula. He is also a Faculty Expert in Google Cloud’s Faculty Expert Program, helping educators explore the benefits of cloud computing in teaching and research.