Faculty

Robin Burke photo

Robin Burke

Robin Burke is a Professor in the Department of Information Science at the University of Colorado, Boulder, and the founder and director of That Recommender Systems Lab. More info...

PhD Students

Jessie Smith photo

Jessie Smith

Jessie Smith (Jess) is a PhD student in the Information Science department at CU Boulder, and a member of That Recommender Systems Lab. Jess has an undergraduate degree from California Polytechnic State University in Software Engineering. Prior to beginning her PhD program, she researched machine learning fairness, global data privacy frameworks, the unintended consequences of rapid tech growth, and open data frameworks for fighting corruption. Jess loves to blog about her research to encourage authenticity and transparency, as well as inform others of the importance of data science and tech ethics.

Amanda Aird Photo

Amanda Aird

Amanda Aird is a first year PhD student in the Information Science Department at CU Boulder working under Professor Robin Burke. She joined TRSL in the summer of 2022. Her research interests include algorithmic fairness, machine learning and recommender systems. Amanda holds an MS in business analytics from the University of Iowa and a BA in economics from the University of Nevada, Las Vegas. In her free time, she enjoys hiking, baking and traveling.

Research Assistants

Shreyas Kadedoki photo

Shreyas Kadedoki

Shreyas Kadekodi is a Computer Science Masters student at the University of Colorado Boulder and has been a part of That Recommender Systems Lab since he was an undergraduate student. His research focuses on fairness-aware recommendation algorithms.

Joshua Sun photo

Joshua Sun

Josh Sun (he/him) is a Computer Science Master’s student at CU Boulder and a member of That Recommender Systems Lab. He did his undergrad at CU Boulder as well. He’s broadly interested in algorithmic fairness and ethics.

Aishwarya Satwani photo

Aishwarya Satwani

Aishwarya Satwani is a MS student in the Computer Science department at CU Boulder. She got her Bachelors in Engineering in Computer Science from B.M.S. College of Engineering, Bangalore, India. Prior to beginning her MS program, she worked at Walmart Labs for 3 years as a full-stack SDE. Her research interests include, recommender systems, social computing and big-data analytics. Aishwarya is currently working on a project that will explore diversity in news consumption across users and generate recommendations based on the evaluated metrics.

Paresha Farastu photo

Paresha Farastu

Paresha Farastu is a Master's student in the department of Computer Science at the University of Colorado Boulder and a member of That Recommender Systems Lab. Farastu has an undergraduate degree from BRAC University, Bangladesh in Electrical and Electronics Engineering, and Physics. Prior to beginning her graduate studies, she worked in the telecommunications industry as a Product Manager. Her research interests include AI Ethics, Recommender Systems, and Online Communities. She is currently working on the implementation of the SCRUF-D Architecture.

Trevor Ward photo

Trevor Ward

Trevor Ward (Trevor) is an undergraduate in the Information Science department at CU Boulder, and a member of That Recommender Systems Lab. Since the beginning of highschool, Trevor has always been interested in Machine Learning and AI, something he continues to learn about through his job as an NLP Developer and Product Manager at Rippey.ai. He has been fortunate enough to be a part of the first student ambassador program for HuggingFace, an AI platform aimed at “democratization of machine learning”.

Henry Dyer photo

Henry Dyer

Henry Dyer is an undergraduate student studying Applied Mathematics at the University of Colorado, Boulder. His interests include fairness in news recommendations and algorithm design. He is currently working on the Lib-rec Auto recommender system framework.