معرفی
Kristin Bennett is a Professor at Rensselaer Polytechnic Institute's Department of Mathematical Sciences and Associate Director of the Institute for Data Exploration and Applications (IDEA). She leads interdisciplinary research projects in machine learning, artificial intelligence, and data science with applications to healthcare, finance, and biomedical problems, emphasizing fairness, equity, and synthetic data generation.
- Education: Ph.D. (1993), University of Wisconsin, Madison; M.S. (1989), University of Wisconsin, Madison; B.S. (1985), University of Puget Sound
Her research spans health equity, ML fairness, synthetic health data, causal inference, and biomedical data preparation. She founded the Data INCITE Lab, which trains over 250 undergraduates in applied data analytics, resulting in real-world solutions and publications.
Her recent work explores large language models for clinical trial design, equitable control arms, survival analysis in DeFi, and causal reasoning in temporal data. The lab's MortalityMinder project won the AHRQ Visualization Contest (2019), and their ACM BCB Best Student Paper (2021) highlights collaborative innovation.
- Scientific Awards:
- AHRQ Visualization of Social Determinants of Health Contest Winner (2019)
- ACM BCB Best Student Paper (2021)
She has advised numerous students through her lab and secured funding from NSF, NIH, IBM, GE, and the Bill & Melinda Gates Foundation. Her research integrates semantic workflows, ontologies, and mathematical programming to address complex challenges in healthcare and finance.
