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David Inouye is an Assistant Professor at the Elmore Family School of Electrical and Computer Engineering at Purdue University. His research focuses on trustworthy machine learning, which includes robust machine learning, causal machine learning, explainability, and fairness. David aims to advance the field by addressing critical aspects of machine learning that impact reliability and social responsibility. His scholarly contributions seek to enhance the understanding of machine learning mechanisms, ensuring that they function reliably and ethically in real-world applications. David is actively engaged in academic discourse and contributes to the body of knowledge in his specialized area of expertise, aiming for a future where machine learning systems are both effective and trusted by users.
GRE is not required.