I lead the Computer
Assisted Programming Group. The focus of our research is program synthesis, an exciting
research area that lies at the intersection of Programming Systems and Artificial Intelligence.
On the one hand, program synthesis is about the use of automated reasoning and learning to help
bring more automation to the programming process. On the other hand, we believe code provides
a uniquely versatile modeling mechanism, so program synthesis can play a powerful role in helping
to build learning systems that are more predictable and robust.
Over the last few years, I have helped with the development of a few courses:
Program Synthesis: Everything you wanted to know about the state of the
art in program synthesis, especially the techniques developed by the
programming languages and formal methods communities.
Here are some lecture notes I put together while on sabbatical in Mexico City in
6.820--Foundations of Program Analysis: This is an introduction to many of the
core techniques that one can use to reason about programs, including
different forms of semantics, type systems, program logics, abstract interpretation
and model checking. And you also learn Haskell along the way!
The course is offered every 2 years. The class was last offered in
6.s081-- Dynamic Computer Language Engineering:
has been mostly leading this class, but I helped with the initial version
of it. In this class, students get to build a just-in-time compiler for
a non-trivial dynamic language completely from scratch.
See here for
a recent version of this class.
In recent years, I have also been involved in teaching
6.031 (Software Construction),
6.009 (Fundamentals of Programming) and
6.01 (Introduction to EECS via Robotics).