Remote Software Development

Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche users while raising questions abo ...  Show more

In this episode, host Kyle Polich speaks with Roan Schellingerhout, a fourth-year PhD student at Maastricht University, about explainable multi-stakeholder recommender systems for job recruitment. Roan discusses his research on creating AI-powered job matching systems that balanc ...  Show more

Huiming Qu didn’t plan to work in data science, a nascent field at the time she was pursuing a Ph.D. in computer science, but one course in data mining changed all of that. She started her career in the research department at IBM, transitioned to a 50-person startup, spent some t ...  Show more

From the time she was a little girl competing in science fairs in Chicago, Alexa Dembek has been drawn to the world of science and technology. Today, Alexa is the Chief Technology & Sustainability Officer at

Book your awesomecodereviews.com workshop!Episode Resources:MultitudesLauren's TwitterDeveloper experience research paperDORA metricsSPACE developer productivity frameworkAbout Lauren PeateLauren is the CEO and founder of Multitudes. Her goal is to empower engineering teams to be ...  Show more

Today we’re joined by Diana Marculescu, Professor of Electrical and Computer Engineering at UT Austin. We caught up with Diana to discuss her work on hardware-aware machine learning. In particular, we explore her keynote, “Putting the “Machine” Back in Machine Learning: The Cas ...  Show more