Eran Yahav has a record of sustained, high-impact contributions to the programming languages research community over nearly two decades. Much of his work has concerned effective static reasoning about concurrent programs, which is a longstanding challenge due to the complex and non-local ways in which threads can interact with one another. Yahav developed novel abstractions for verifying safety and correctness properties of concurrent programs and used them to validate non-trivial concurrent algorithms in Java. Later, he extended and applied program synthesis techniques to concurrent programs in creative ways, for example, demonstrating how to synthesize a correct concurrent version of a sequential algorithm and how to automatically repair an existing concurrent algorithm through additional synchronization. Most recently, Yahav has been an early leader in the area of “big code,” leveraging machine learning techniques to solve difficult programming tasks, including code search, code completion, and reverse engineering. This work has influenced others in the research community to pursue this research direction and has led to practical software engineering tools for programmers.