Shubham Singh

Research Scientist at the University of Chicago Data Science Institute

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5460 S University Ave

Chicago, Illinois 60615

I am a Research Scientist at the University of Chicago Data Science Institute, working with Moon Duchin. I recently earned my Ph.D. in Computer Science from the University of Illinois Chicago, advised by Chris Kanich and Ian A. Kash. My research sits at the intersection of algorithmic fairness, security and privacy, and computational social science, with a focus on diagnosing and mitigating biases in sociotechnical systems.

Previously, I led Working Groups for the EAAMO Bridges (formerly MD4SG) initiative, and I developed my research foundation at Precog Research Lab under Ponnurangam Kumaraguru “PK” and Arun Balaji Buduru. My industry background includes serving as a Full-Stack Developer at an Amazon–acquired startup and a software engineering intern at MobiKwik. I completed my undergraduate degree in Computer Science at IIIT-Delhi.

Name pronunciation: /ˈʃuːbˈhʌm/, (shoo-b-hum)

news

Sep 30, 2025 I successfully defended my Ph.D. thesis titled “Fair Scheduling and Resource Allocation for Public Services” on September 30, 2025! I am grateful to my advisors, committee members, collaborators, friends, and family for their support throughout this journey. Looking forward to the next chapter! 🎉🎓
Jun 09, 2024 I will present our work at EAAMO 2024 held from Oct 29th to Oct 31st, 2024 in San Luis Potosí, Mexico. I will also participate at the Doctoral Consortium, come say hi!
May 09, 2024 I am an organizing volunteer for the 2024 NSF SaTC Aspiring PI Workshop at the University of Chicago.
Mar 13, 2024 I passed my doctoral preliminary exam and I am a Ph.D. Candidate now 🎉! I also earned M.S. in Computer Science 👨‍🎓.
Jun 28, 2023 Our collaborative work on “Evaluating the Social Impact of Generative AI Systems in Systems and Society” is on arXiv now. This paper comes from a team of visionaries across academia and industry, and is a step towards understanding the multifaceted impacts of Geneative AI on society. Special thanks to Irene Solaiman and Zeerak Talat from Hugging Face 🤗 for bringing everyone together!

selected publications

  1. arXiv
    Evaluating the Social Impact of Generative AI Systems in Systems and Society
    Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan Baker, Su Lin Blodgett, Canyu Chen, Hal Daumé III, Jesse Dodge, Isabella Duan, Ellie Evans, Felix Friedrich, Avijit Ghosh, Usman Gohar, Sara Hooker, Yacine Jernite, Ria Kalluri, Alberto Lusoli, Alina Leidinger, Michelle Lin, Xiuzhu Lin, Sasha Luccioni, Jennifer Mickel, Margaret Mitchell, Jessica Newman, Anaelia Ovalle, Marie-Therese Png, Shubham Singh, Andrew Strait, Lukas Struppek, and Arjun Subramonian
    2024
  2. EAAMO
    Fair Decision-Making for Food Inspections
    Shubham Singh, Bhuvni Shah, Chris Kanich, and Ian A. Kash
    In Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), Arlington, VA, USA, Oct 2022