معرفی
Isaac Lage is an Assistant Professor of Computer Science at Colby College since July 2023, specializing in interactive optimization methods for sociotechnical machine learning applications. Their work bridges technical rigor with societal impact, emphasizing accessibility in educational settings and algorithmic accountability.
- Harvard University PhD in Computer Science (NSF GRFP Fellow)
- Microsoft Research Intern (Adaptive Systems and Interaction Group)
- Research Software Engineer at MIT/NYU with David Sontag
Research focuses on interpretable machine learning, human-AI collaboration, and healthcare equity analysis. Current projects explore sociotechnical implications of computing systems through EHR data patterns, fairness in predictive models, and user-driven interpretability frameworks.
Recent publications show trends in explainable AI (2020-2022), with subfields including clinical decision support, policy summarization, and uncertainty communication. Key themes: healthcare disparities, robust interpretability, and human-in-the-loop learning.
Scientific Awards:
- NSF GRFP Fellowship
- NeurIPS Spotlight Presentation (2018)
- AAAI HCOMP Honorable Mention (2019)
As a Pedagogy Fellow at Harvard SEAS (2022-23), they contributed to curriculum design for CS 152 and CS 231 at Colby. Also earned a Teaching Certificate from Harvard's Derek Bok Center (Spring 2023).
