Bio

I am a Computer Science PhD candidate at The University of Maryland, fortunately advised by Prof. Aravind Srinivasan. My research interests include randomized algorithms, machine learning, and fairness. I am also proud to be a 2022 Data Science for Social Good Fellow in affiliation with Carnegie Mellon University. I hold a Mathematics B.S. from the University of Maryland Baltimore County.

Selected Projects

• Proportional Fair Matching @ AAAI-25
  • authors: Sharmila Duppala, Nathaniel Grammel, Juan Luque, Calum MacRury, Aravind Srinivasan
• Robust Fair Clustering with Group Membership Uncertainty Sets @ AISTATS 2025
  • authors: Sharmila Duppala, Juan Luque, John P. Dickerson, Seyed A. Esmaeili
• Barter Exchange with Shared Item Valuations @ TheWebConf-24
  • authors: Juan Luque, Sharmila Duppala, Aravind Srinivasan, John Dickerson
• DSSG DoJo
  • At Data Science for Social Good, we built a machine learning pipeline to predict behavioral health crises in partnership with Douglas County, KS and Johnson County, KS
• Group Fairness in Set Packing @ IJCAI-23
  • authors: Sharmila Duppala, Juan Luque, Aravind Srinivasan, John Dickerson
• Obsidian (a markdown-based note-taking app) Plugins
  • Next Link

Hobbies

You can find some of my hobbies here.