Edwin Otieno Ouko

Edwin Otieno Ouko

Scholar Title

MIT EECS | Landsman Undergraduate Research and Innovation Scholar

Research Title

Digital Phenotyping for Mental Wellness




Electrical Engineering and Computer Science

Research Areas
  • Artificial Intelligence & Machine Learning

Richard R. Fletcher


The use of data gathered from smartphones and wearables is increasingly prevalent in identifying early indications of illnesses, allowing medical professionals to evaluate a patient’s well-being from a distance, or even better, automating the process. Nevertheless, accurately forecasting a patient’s emotional state using this data remains a formidable task. As part of my research, I integrate sensor and user interaction data to enhance the precision of predicting individuals’ stress levels.


This SuperUROP has given me a chance to do research at the intersection of machine learning and healthcare and to see how machine learning could change disease diagnostic process.

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