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Esenbil Information Technologies
Esenbil Information Technologies

Research at Esenbil

Independent Research in Computational Science and Artificial Intelligence

Esenbil conducts exploratory research at the intersection of artificial intelligence, computational modeling, and scientific representation.


Research Lead

Dr. Ersin Esen — Independent Researcher, Esenbil Information Technologies

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Research Projects

AgnostiMap
​Computational research

Proteome-wide molecular interaction discovery, supported by a previous Google Cloud for Research credit grant.

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Atomic Map
Exploratory Computational Research

A data-driven representation of chemical elements using physicochemical features and nonlinear dimensionality reduction. Initial experiments investigate the emergence of elemental relationships in latent space and their potential use in predictive modeling. The approach remains under investigation and requires further validation.

Interaction Tokenization
​Ongoing experiments

Investigating whether molecular interactions can be represented through a learned vocabulary of compositional tokens.