I'm an Associate Professor in Information School, an Adjunct Associate Professor in Paul G. Allen School of Computer Science & Engineering, and an Adjunct Associate Professor in Human Centered Design & Engineering (HCDE) at University of Washington (UW). I am a Research Associate, University of Pretoria, South Africa and a Visiting Professor, Peking University, China. I also work closely with industrial research labs on cutting-edge problems, typically as a visiting researcher. The most recent engagements included Spotify (2018), Amazon (2019), and Microsoft Research AI (2020).
My research revolves around intelligent systems. On one hand, I am trying to make search and recommendation systems smart, proactive, and integrated. On the other hand, I am investigating how such systems can be made fair, transparent, and ethical. The former area is Search/Recommendation and the latter falls under Responsible AI. They both create interesting synergy, resulting in Human-Centered ML/AI.
I received my PhD in Information Science from University of North Carolina (UNC) at Chapel Hill. I hold an MTech, Computer Science & Engineering from Indian Institute of Technology (IIT) Madras, India and an MS, Computer Science from University of Massachusetts (UMass) Amherst. I have published and talked extensively on topics related to search and recommendation, social media, and fairness in ML. I have served as a consultant to the United Nations Data Analytics on various Data Science projects involving social and political issues, peacekeeping, climate change, and energy.
In addition to publishing numerous scholarly articles and giving talks around the world, I have authored several books, including a textbook on Data Science. I am frequently interviewed by various media sources for comments on issues ranging from search engines and recommender systems to AI and ML advancements and society. I am the Founding Editor-in-Chief for Information Matters.
Potential students: Check out InfoSeeking Lab, my research themes, currently funded projects, and a list of my current and past students. Read how to communicate with a professor before sending me a message.
For collaboration and consultancy: I value my time (and yours) a lot, so please do your research about what my skills and your needs are to assess the fit. My CV or LinkedIn profile may be good starting points.