Siddhartha Prasad

siddhartha.a.prasad@gmail.com

Updated

I am a programming languages researcher interested in the human aspects of programming and formal reasoning. I study not only how PL and FM techniques can solve problems programmers face, but also how programmers' experiences can inform the design of our languages, logics, and software tools. My research is informed by my time as an engineer: I have written code that doesn't do what I want it to, and I want to spare everyone else the indignity.

Education

Brown University

Providence, RI Jan 2022 – present

Ph.D. in Computer Science

Advisor: Shriram Krishnamurthi

Tufts University

Medford, MA May 2016

B.S. in Computer Science and Mathematics

Advisor: Kathleen Fisher Summa cum Laude; High Thesis Honors

Employment

Apple

Seattle, WA

Research Intern Human-Centered Machine Learning

May – Sep 2023
  • Designed a formal-methods-inspired technique that prompts an LLM to evaluate candidate outputs against task-specific quality criteria and iteratively refine them without fine-tuning.
  • Applied the technique in ContextQ, a system that generates questions to support parent-child dialogue during shared reading.

Microsoft

Redmond, WA

Software Engineer II Applied AI

Apr 2018 – Sep 2021
  • Built the container platform for Azure Cognitive Services, enabling customers with sensitive data to run AI workloads on-premises, at the edge, or in fully disconnected environments.
  • Designed a deployment framework that allowed the same Docker containers to run across Azure-hosted and customer-managed environments, abstracting differences in CPU architecture, connectivity, API-key validation, logging, and storage.
  • Operated production infrastructure for the cloud service, including on-call responsibility.

Software Engineer Developer Ecosystem Platform

Aug 2016 – Mar 2018
  • Designed and shipped XAML input APIs across Windows 10, Windows Phone, and Xbox, giving developers a consistent model for keyboard, gamepad, and ink interaction.
  • Built accessibility and navigation features, including XAML access keys, so applications could expose commands and behave consistently across keyboard and gamepad input.

Software Engineering Intern Developer Ecosystem Platform

May – Aug 2015

INRIA

Saclay, France

Research Intern Parsifal

Jun – Jul 2014
  • Researched correctness certificates for first-order term-rewriting systems.

Publications

  1. Diagramming Program Values by Spatial Refinement, PLDI 2026

    Siddhartha Prasad, Michael Tu, Karan Kashyap, Tim Nelson, Shriram Krishnamurthi

  2. Meaningful Human-in-the-Loop Checking of GenAI Synthesis for Restricted Languages, ECOOP 2026

    Siddhartha Prasad, Skyler Austen, Kathi Fisler, Shriram Krishnamurthi

  3. hS: Speculative Script Reordering at Subprocess Granularity, OSDI 2026

    Georgios Liargkovas, Di Jin, Tianyu (Ezri) Zhu, Dan Liu, A. Bolun Thompson, Anirudh Narsipur, Seong-Heon Jung, Siddhartha Prasad, Diomidis Spinellis, Michael Greenberg, Konstantinos Kallas, Nikos Vasilakis

  4. A Misconception-Driven Adaptive Tutor for Linear Temporal Logic, CAV 2025

    [Distinguished Paper]

    Siddhartha Prasad, Ben Greenman, Tim Nelson, Shriram Krishnamurthi

  5. Lightweight Diagramming for Lightweight Formal Methods: A Grounded Language Design, ECOOP 2025

    [Distinguished Paper; Distinguished Artifact]

    Siddhartha Prasad, Ben Greenman, Tim Nelson, Shriram Krishnamurthi

  6. Misconceptions in Finite-Trace and Infinite-Trace Linear Temporal Logic, FM 2024

    Ben Greenman, Siddhartha Prasad, Antonio Di Stasio, Shufang Zhu, Giuseppe De Giacomo, Shriram Krishnamurthi, Marco Montali, Tim Nelson, Milda Zizyte

  7. ContextQ: Generated Questions to Support Meaningful Parent-Child Dialogue While Co-Reading, IDC 2024

    Griffin Dietz Smith, Siddhartha Prasad, Matt J Davidson, Leah Findlater, R Benjamin Shapiro

  8. Forge: A Tool and Language for Teaching Formal Methods, OOPSLA 2024

    Tim Nelson, Ben Greenman, Siddhartha Prasad, Tristan Dyer, Ethan Bove, Qianfan Chen, Charles Cutting, Thomas Del Vecchio, Sidney LeVine, Julianne Rudner, Ben Ryjikov, Alexander Varga, Andrew Wagner, Luke West, Shriram Krishnamurthi

  9. Conceptual Mutation Testing for Student Programming Misconceptions, ‹Programming› 2024

    Siddhartha Prasad, Ben Greenman, Tim Nelson, Shriram Krishnamurthi

  10. Generating Programs Trivially: Student Use of Large Language Models, CompEd 2023

    Siddhartha Prasad, Ben Greenman, Tim Nelson, Shriram Krishnamurthi

  11. Making Hay from Wheats: A Classsourcing Method to Identify Misconceptions, Koli Calling 2022

    Siddhartha Prasad, Ben Greenman, Tim Nelson, John Wrenn, Shriram Krishnamurthi

  12. Large-Scale Intelligent Microservices, IEEE BigData 2020

    Mark Hamilton, Nick Gonsalves, Christina Lee, Anand Raman, Brendan Walsh, Siddhartha Prasad, Dalitso Banda, Lucy Zhang, Lei Zhang, William T Freeman

Teaching

Teaching Assistant, Brown University

Logic for Systems

2022–2026

Programming Languages

2025

Teaching Assistant, Tufts University

Programming Languages

2015–2016

Algorithms

2014

Service

2026 Artifact Reviewer, The Art, Science, and Engineering of Programming

Affiliations & Certifications

Sheridan Teaching Seminar Certificate Brown University
Tau Beta Pi, The Engineering Honor Society Tufts University