I am a research software engineer on the PROSE Team at Microsoft, where we build industrial-strength technologies to help users program by example: in this paradigm, users specify a computation not by writing code, but by synthesizing the program from examples of the intended computation.

I previously graduated in June 2017 with a PhD in Computer Science from the University of California, San Diego, where I was a member of the Programming Systems Group advised by Sorin Lerner. My graduate work focused on programming language techniques to help developers build complex software with fewer mistakes, drawing from the areas of program synthesis, analysis, and verification.


I was the primary investigator on the following projects.

  • Synthesizing Parsers by Example

    We implement a graphical development environment for synthesizing parsers by example. The user presents examples simply by selecting and labeling sample text in a graphical text editor. An underlying synthesis engine then constructs or refines lexer rules and grammar productions based on the supplied examples, all without requiring the user to write code.

  • C-to-Verilog Equivalence Checking

    High-Level Synthesis (HLS) tools translate specifications in high-level languages like C/C++ down to hardware description languages such as Verilog. We implement an equivalence checker called VTV that verifies the correctness of the HLS translation process, then use it to validate a body of programs compiled by the Xilinx Vivado HLS compiler.

  • GPU Kernel Test Amplification

    We implement a novel analysis for verifying properties of data parallel GPU programs. The key concept behind our work is test amplification: we can use static information flow to amplify the result of a single test execution over the set of all inputs and interleavings that affect the property being verified. Using our analysis, we verify race-freedom and determinism over a large number of standard GPU kernels written in CUDA.



I served as teaching assistant for the following courses.


I graduated from Cornell University in Spring 2004 with a degree in Electrical and Computer Engineering and a concentration in computer architecture.

I then spent five fantastic years at Intel, where I worked with a great group of computer engineers designing cache memory systems for several generations of Itanium microprocessors. During this time I developed a curiosity for software design, and in particular, the design of VLSI development tools. My interest in programming languages began when I saw how fundamentally the choice of language influenced the structure of these tools. That initial spark grew over time until I decided to pursue my PhD studying programming languages.