About Me

Assistant Professor
Department of Computer Science
Stevens Institute of Technology

Email: wli69 [at] stevens [dot] edu
Office: Gateway South 329
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I am an Assistant Professor of Computer Science at Stevens Institute of Technology. [News: I am actively looking for Ph.D. students to join me starting Fall 2026!]

Before this, I obtained my Ph.D. in Computer Science at the University of Illinois at Urbana-Champaign, co-advised by Professors Karrie Karahalios and Hari Sundaram.

My research is motivated by the goal of empowering everyone to thrive in a rapidly changing future through education. My work contributes to human-computer interaction (HCI), human-centered AI (HAI), and education technology. Currently, I ask and answer questions regarding the interplay between education and algorithmic systems via a sociotechnical lens:

(1) “Algo -> Education”: Should emerging algorithmic systems be adopted in education, and how should they be used and deployed?
I work with stakeholders and audit algorithmic educational systems to identify and address challenges in interaction and deployment that stakeholders face, promoting effective and responsible use (e.g., managing algorithmic errors). In the long run, I aim to establish meaningful relationships between emerging algorithmic systems and stakeholders in education (e.g., self-regulated learning with generative AI).

(2) “Education -> Algo”: How can education and knowledge of human learning prepare people for a future where they co-exist with algorithmic systems?
I leverage theories and knowledge in human learning to support people’s critical use of algorithmic systems in various scenarios (e.g., information seeking, decision making). I am also interested in (re-)designing HCI and HAI educational programs to prepare diverse groups for an algorithmic future.

My research adopts an interdisciplinary approach. I conduct human-subject experiments, build innovative interactive systems, and perform quantitative (e.g., Bayesian statistics and causal inference) and qualitative analyses.