Nate Bragg

Office: 196 Boston Ave, 4th floor

nate at cs dot tufts dot edu

I am a PhD student in the Department of Computer Science at Tufts University, working on programming languages with my advisors Jeff Foster and Kathleen Fisher.

My primary research interests are related to Program Synthesis, applications of Convex Optimization, and Resource Analysis.

I'm also generally into weird type systems, event-driven systems, distributed systems, and machine learning.

Publications:

  • Nate Bragg, Jeff Foster, Cody Roux and Armando Solar-Lezama,
    Program Sketching by Automatically Generating Mocks from Tests,
    33rd International Conference on Computer-Aided Verification, CAV 2021 [paper]

Some of my past projects:

  • Ratl, a mini-scheme with a resource-aware type system based on RaML, by Hoffmann et. al. It is written in Haskell, and is meant as a sandbox to play with resource-aware types, in order to explore their concrete applications.
  • Smudge, a domain-specific language for event-driven state machines, along with a compiler and run time system, co-created with my colleague Nathan Michaels. The compiler is written in Haskell, and generates ANSI C89 output. The run time system, Smear, is written in C99.

Since summer 2019, I have been funded thanks to the generous support of the Draper Fellows program.

In the spring 2019, I was an RA for professor Jeff Foster.

In the spring and fall of 2018, I was a graduate TA for Comp 105: Programming Languages with professor Norman Ramsey.

Before returning to graduate school, I spent 12 years in industry working on cool stuff like embedded systems and machine learning for companies including Bose and ADB Airfield Solutions.

Before that, I got my BS in Electrical Engineering at Rensselaer Polytechnic Institute.