Alin Tomoiaga

Alin Tomoiaga is an Associate Professor and holder of the Dr. James Suarez Endowed Chair in the School of Business at Manhattan University, focusing on Accounting, CIS, and Law. His teaching portfolio includes advanced courses in Business Analytics, Blockchain Technology, Artificial Intelligence, and Machine Learning applications in business contexts. His research spans interdisciplinary areas including healthcare data analysis in sub-Saharan Africa, mental health post-pandemic comparisons between American and Romanian students, and renewable energy policy in urban settings.

Recent research emphasizes sepsis pathobiology and mortality prediction in resource-limited regions, leveraging machine learning and genomic analysis. Notable collaborations include multicenter studies in Uganda investigating molecular phenotypes and host response stratification. He also explores educational innovations through business analytics competitions and interdisciplinary pedagogical strategies.

Key contributions include developing transcriptomic classifier models for sepsis risk stratification and analyzing crosstalk effects in genomic pathway studies. His work bridges quantitative methodologies with real-world applications in healthcare, energy policy, and business decision-making.