My publication record reflects a coherent research program centered on the formal, computational, quantitative, and cognitive dimensions of linguistic relatedness. The trajectory can be characterized in four stages. The first concerns the formal description of Slavic grammar, particularly Bulgarian and Russian, within HPSG. This work established a foundation for representing language-specific grammatical properties within a rigorous formal framework. The second extends this foundation to computational grammar engineering, including resource grammars, parsing, and reusable grammatical architectures. Here, formal analyses became implemented resources, making it possible to investigate how grammatical knowledge can be represented and shared computationally. The third concerns multilingual grammar design, with an emphasis on shared grammatical resources and systematic representations of relationships among Slavic languages. The fourth shifts the focus from the structure and representation of linguistic relatedness to its human consequences, using quantitative methods and psycholinguistic experiments to investigate intercomprehension, multilingual competence, and cross-linguistic processing.The continuity across these stages is provided by the concept of linguistic relatedness. My early work addressed how grammatical properties of related languages can be formally captured; grammar-engineering research examined how such representations can be made reusable across languages; multilingual resource development addressed how relationships among languages can be systematically encoded; and intercomprehension research investigates how these relationships become usable information for speakers. A distinctive feature of this research program is its integration of formal linguistic theory, computational operationalization, multilingual resource development, quantitative modeling, and experimental validation. Its contributions therefore extend beyond theoretical analyses to include implemented grammars, computational tools, reusable linguistic resources, quantitative models, and experimental platforms. This integration connects levels of nalysis that are often treated separately, from grammatical representation and computational implementation to human multilingual processing. The overall contribution of the program is a shift from asking what related languages have in common to asking how their commonalities can be represented, measured, and exploited in multilingual communication. This perspective provides a foundation for continued research on receptive multilingual competence, cross-linguistic processing, multilingual communication, language contact, microsyntax, and computationally informed models of linguistic relatedness. The trajectory combines formal rigor, computational implementation, and empirical validation while progressively connecting the architecture of multilingual grammars to the cognitive processes through which linguistic relatedness becomes communicatively useful.