معرفی
Nachiketa Sahoo is an Associate Professor in the Information Systems Department at Boston University's Questrom School of Business, where he has been faculty since 2011. His research sits at the intersection of Machine Learning and Information Systems, with particular focus on personalized recommender systems and user preference modeling.
Research Focus: Dr. Sahoo's work centers on learning user preferences and decision-making processes from large disaggregate datasets. His primary projects include:
- Personalization and Matching: Developing systems to match items to users while examining stability and fairness implications
- Retail Analytics: Analyzing customer activity data to reduce product expiration through salesforce incentive alignment
- Data-driven Healthcare: Estimating value of genomic tests and physician decision modeling
- Content Recommendation: Studying multi-category utility models for diversified content consumption
Scientific Contributions:
- Developed novel methods for uncovering population response paths using time-series data
- Created approaches to match donors with philanthropic causes on crowdfunding platforms
- Designed salesforce compensation schemes reducing $15B+ in annual product waste
- Pioneered multi-category utility models for content recommendation
Academic Leadership: Dr. Sahoo advises PhD students in Information Systems, with graduates securing tenure-track positions at institutions like University of Minnesota and University of South Florida. His teaching portfolio includes advanced machine learning courses and doctoral seminars on ML methods for social science research. He previously served as a Visiting Assistant Professor at Carnegie Mellon's Tepper School of Business.
Education: He holds a PhD in Information Systems from Carnegie Mellon University's Heinz College, an MS in Knowledge Discovery and Data Mining from CMU's Machine Learning Department, and a B.Tech in Industrial Engineering from IIT Kharagpur. His industry experience includes software engineering at i2 Technologies (now JDA Software).
