Kiril Kiriyevsky

Title: Kiril Kiriyevsky: Applying Machine Learning to Olfactory Prediction.

Introduction

Kiril Kiriyevsky is an inventor based in Nesher, Israel, whose patent work explores how machine learning can help predict the olfactory properties of molecules. He is associated with Moodify Ltd. and is named on one patent in the information provided.

Latest Patents

Kiriyevsky’s patent, “Predicting Olfactory Properties of Molecules Using Machine Learning,” describes a system and method for predicting olfactory properties from a molecule’s chemical structure. The method represents the molecule’s spatial surface by selecting surface points and recording each point’s location and local physicochemical properties. A machine-learned model processes this surface-points representation and produces predictions about one or more olfactory properties. The patent also describes predicting molecular chemical structures that enable specified olfactory properties.

Career Highlights

The patent reflects an approach that combines molecular surface information, physicochemical data, and machine learning to investigate scent-related characteristics. Kiriyevsky’s work at Moodify Ltd. connects his invention to the company’s focus on olfactory technology.

Collaborations

David Silver and Yaniv Mama are identified as Kiriyevsky’s coworkers. Their association provides context for the professional environment surrounding his work at Moodify Ltd.

Conclusion

Kiril Kiriyevsky’s patent applies machine learning to the prediction of molecular olfactory properties, bringing computational methods to the study of scent.