This month, I had the pleasure of speaking with Professor Manmohan Aseri, who recently joined the QUEST Quality Guild to teach the Applied Quantitative Analysis class, BMGT394H/ENED394H. 

Born and raised in India, Professor Aseri completed his undergraduate degree in Electrical Engineering from IIT Kanpur. After spending five years as a software engineer, he decided to follow his true calling—academia. “Even during those five years in industry,” he recalled, “I was always looking for what area in academia I should pursue.”

That search led him to Information Systems, a field that combined his interests in programming, mathematics, optimization, and game theory. “My research involves a lot of mathematical modeling—using data, optimization, and game theory to solve problems,” he explained. “I really enjoy that, and I think academia is the perfect job for me.”

When he first joined the University of Maryland as Smith School faculty last year, QUEST reached out to him about teaching. “I had heard great things about QUEST students,” he said. “Working with them allows me to explore my teaching topics in more depth because they come from all different backgrounds and grasp the basics so quickly.”

In BMGT/ENED394H, Professor Aseri focuses on teaching humility in the face of data. “It’s very easy to be overconfident when you have data,” he explained. “You might think, ‘Whatever I’m saying is based on the data I have,’ but even then, there’s a very good chance you might be wrong because data has its own issues—biases, missing values, and hidden assumptions.”

Professor Aseri embraces technology like AI—and encourages his students to do the same—but with critical awareness. “As a technology professor, there’s no point in being scared of tech,” he said. “We should always embrace it.” At the same time, he cautions students to use AI tools thoughtfully. He cited overly complicated code and hidden bugs as ways AI can misguide students, especially beginners to coding. 

When asked what he hopes students take away from his class, Professor Aseri’s answer was simple. “I hope this class makes students more humble about what they can and can’t do with data. Just having data shouldn’t increase confidence—claims should be more moderate. After this class, I want students to look for five pieces of evidence instead of just one.”

He also encourages students to keep learning independently. “I’ve grown using Coursera,” he shared. “Every now and then I take new courses there. They’re credible and systematic, and that constant learning keeps me sharp.”

Outside of teaching and research, Professor Aseri enjoys hiking, running, and spending time with his family. Having lived in both Pittsburgh and Maryland, he’s explored trails all over the Northeast. “I covered almost all the hikes in Pittsburgh—clockwise and anticlockwise!” he said. “The hikes here in Maryland are flatter, so I can actually run on them.”

His enthusiasm for both teaching and learning shines through every topic—from mathematical modeling to AI usage to hiking trail recommendations, and he encourages all students to stay curious. Thank you Professor Aseri for speaking with QUESTPress!