Joel Kowalewski

Computational Neuroscience & Biology

Accelerating Discoveries Through AI

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Modeling Human Odor Perception

Uncovering the physicochemical basis of odor perception and developing machine learning/AI platforms to discover chemicals with specific perceptual qualities. The work has been applied to identify topical insect repellents with more appealing properties.

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Next-Generation Insect Repellents

Searching for pyrethroid and DEET substitutes from millions of chemical possibilities.

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Drug Repurposing and Discovery

Application of machine learning/AI to identify candidate drugs as repurposed Covid-19 treatments or to discover new compounds that target virus entry and replication.

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Predicting Fly Behavior

Drosophila odor valence can be modeled by physicochemical features and in vivo recorded neural activity. Few of the many odorant receptor activities in the fly are highly predictive of the observed behavior.

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Diagnosing Alzheimer's

Developing statistical models from brain imaging data to diagnose individuals genetically at risk for Alzheimer's disease.

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