I research the design of technologies that promote equitable human-AI interactions and empower human workers and communities. I study sociotechnical practices of decision-making in government agencies, community-based organizations, and public health, and design AI systems that center well-being, elevate human expertise, and foster collective decision-making. 

To achieve this, I combine computational and design methods to create frameworks, methods, and tools that support participatory AI design and responsible AI innovation.

My research sits at the intersection of Human-Computer Interaction, Machine Learning, and FAccT and is helping develop the emerging field of Human-Centered Data Science.

• I was invited to join the Editorial Board of the ACM Journal on Responsible Computing as an Associate Editor.

• I co-organized the CHI 2025 Workshop on “Emerging Practices in Participatory AI Design in Public Sector Innovation”.

• Paper “Making the Right Thing: Bridging HCI and Responsible AI in Early-Stage AI Concept Selection” received Best Paper Honorable Mention Award 🏆 at ACM DIS 2025.

• Paper “The Datafication of Care in Public Homelessness Services” received Best Paper Honorable Mention Award 🏆 at ACM CHI 2025.

• I was a panelist at the AI Ethics Symposium: From Policy to Practice organized by the Northwestern Mutual Data Science Institute.

• I was a panelist on a meeting organized by the Office of Science and Technology Policy (OSTP) at the White House. The session brought together experts to share best practices in participatory algorithm design in government.

• I was awarded the Presidential Postdoctoral Fellowship at Carnegie Mellon University. I will be working with Ken Holstein, Jodi Forlizzi, and John Zimmerman in the Human-Computer Interaction Institute.

• Paper “Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-Making” has been accepted to the ACM Journal of Responsible Computing”. This work on algorithmic harms in child welfare was featured in Data & Society’s series on The Social Life of Algorithmic Harms.

• Paper “Rethinking “Risk” in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare” was accepted at CHI’2023 and received the Best Paper Award 🏆

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MY BACKGROUND



I am a software engineer and data scientist by training with a B.S. and M.S. in Computer Science. I have worked in the industry for about 4 years with experiences that range across application and cloud development and ML engineering. As a postdoctoral fellow, I also learned about design methods and how to employ design thinking toward responsible AI innovation.

“Computational depth without sociological depth is superficial learning”

— Dr. Ruha Benjamin

Through my dissertation work, I have also learned the importance of ethnographic research and its ability to uncover the ecological impact that new technologies have on our society. I love to delve into research areas that unravel these complex interactions between people, AI systems, and social and cultural factors. This quote from Dr. Ruha Benjamin perfectly sums up how I perceive computational research and what I strive to achieve.

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MY HOME

Since 2012, I have called Wisconsin my home. I lived in Milwaukee for twelve years before moving to Madison. Local breweries, beautiful lakes, biking and hiking trails, an excellent park system, and so much more have made it a great city to live in.



MADISON, WI

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