Molly Q Feldman
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she/her

Announcements

  • Look out for the SPLASH-E CfP & PLMW applications coming this summer!

I am an Assistant Professor of Computer Science at Oberlin College.

I spent the 2020-2021 school year as a Visiting Assistant Professor at Williams College. I received my Ph.D. in Computer Science from Cornell University in 2020. Before that, I received my M.S. in Computer Science from Cornell and my B.A. in Mathematics & Computer Science from Swarthmore College.

A full CV is available here.

Teaching

I teach courses across the Oberlin CS curriculum from CS1 to Programming Languages to HCI. In Fall 2023, I'll be teaching:

CSCI 275: Programming Abstractions
This course covers programming languages fundamentals and functional programming in Racket.
CSCI 317: People-Powered Procedures
This course overviews the many ways people contribute to the programming pipeline, including data labeling, human aspects of software engineering, and AI interaction.

Research

I'm interested in bridging the gap between powerful computational methods and the human-centered world. Specifically, my work considers how methods that are newly practical can be adapted to solve complex human problems in meaningful ways. This work has been made possible by my collaborators and co-authors.

Selected Publications

MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation
Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q Feldman, Arjun Guha, Michael Greenberg & Abhinav Jangda
IEEE TSE 2023
How we write with crowds
Molly Q Feldman & Brian McInnis
CSCW 2020
Automatic Diagnosis of Students' Misconceptions in K-8 Mathematics
Molly Q Feldman, Ji Yong Cho, Monica Ong, Sumit Gulwani, Zoran Popović & Erik Andersen
CHI 2018