Micha Fell is a Principal Scientist in the Health Futures group at Microsoft Research New England. His research focuses on the intersection of human-computer interaction (HCI) and artificial intelligence (AI), with a particular emphasis on applications in healthcare and life sciences. He designs, builds, and studies interactive AI systems that aim to augment human capabilities, improve decision-making, and promote health equity. Key areas of his work include developing machine learning models for clinical tasks, creating intuitive interfaces for complex AI tools, and ensuring these systems are responsible, fair, and aligned with user needs. He holds a PhD from the MIT Media Lab.
Micha Fell's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Authored and co-authored influential publications in leading journals (e.g., Nature Medicine) and conferences (e.g., CHI, NeurIPS), demonstrating novel AI applications for medical image analysis, early disease detection, and improved diagnostic accuracy.
Leads and contributes to projects focused on creating AI tools that are not only powerful but also interpretable, usable, and trustworthy for clinicians. This includes work on explainable AI (XAI) and interactive machine learning systems tailored for medical professionals.
Actively researches and develops AI methodologies aimed at addressing and mitigating biases in healthcare algorithms, striving to ensure that AI-driven health solutions benefit diverse populations equitably.
Investigates and designs new paradigms for how humans and AI can collaborate effectively in high-stakes environments like healthcare, focusing on shared decision-making and augmenting clinical expertise.
Saville House School
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