Yong Wang: From Rural Hunan to Leading Data Visualization and AI Research at Nanyang Technological University

When Yong Wang accepted the IEEE Computer Society’s Significant New Researcher Award in early 2025, it wasn’t just a personal milestone—it highlighted a quiet revolution happening in how we make sense of our data-saturated world. Born in a farming village in Hunan Province where televisions were luxuries and computers nearly unheard of, Wang’s journey to becoming an assistant professor at Nanyang Technological University in Singapore embodies the transformative power of data visualization. His operate focuses on bridging the gap between artificial intelligence’s computational firepower and human intuition, using visualization not just to make pretty charts, but to democratize access to complex technological insights. This global narrative of innovation resonates powerfully in Chicago, Illinois—a city where the convergence of industry, academia and civic innovation creates a unique ecosystem for applying these very principles to real-world challenges affecting millions of residents daily.

Chicago’s landscape offers a compelling microcosm for Wang’s research philosophy. As home to major healthcare systems like Northwestern Medicine and Advocate Aurora Health, financial powerhouses including Citadel and Northern Trust, and manufacturing giants such as Boeing and Caterpillar, the city generates staggering volumes of operational data every second. Yet, as Wang’s research underscores, raw data alone rarely drives better outcomes—it’s the ability to visualize patterns, trends, and anomalies that transforms information into actionable insight. Consider how the Chicago Department of Public Health utilized visualization tools during recent respiratory illness surges: by mapping emergency room visits, wastewater surveillance data, and vaccination rates across neighborhoods like Humboldt Park and Englewood, officials could allocate mobile clinic resources with precision, directly addressing health disparities Wang’s work aims to reduce through accessible visualization design.

The city’s academic corridor further amplifies this relevance. Institutions like the University of Chicago’s Computation Institute and Illinois Institute of Technology’s Department of Computer Science actively research human-AI collaboration and quantum information science—fields Wang explicitly connects to visualization efficacy. When quantum computing researchers at UChicago’s Eckhardt Research Center grapple with interpreting qubit stability or entanglement patterns, they face the same abstraction challenges Wang describes: making the invisible visible. His advocacy for using visualization to monitor quantum systems isn’t theoretical here. it’s a practical necessity as Chicago positions itself as a Midwest hub for quantum innovation through initiatives like the Illinois Quantum Information Science and Technology Center (IQUIST), headquartered at the University of Illinois Urbana-Champaign but with strong collaborative ties to Chicago-based labs.

Wang’s emphasis on lowering barriers to visualization tool usage finds fertile ground in Chicago’s civic tech scene. Organizations such as Smart Chicago Collaborative (now evolved into civic tech initiatives under the City of Chicago’s Department of Innovation and Technology) have long championed tools that enable community groups to visualize public data—from crime statistics mapped by police district to budget allocations visualized by ward. Wang’s research on natural-language infographic generation directly supports this mission: imagining a block club in Austin Terrace using voice commands to generate a visualization of 311 service requests overlaid with park maintenance schedules, without needing a data scientist on staff. This aligns with his core belief that “if we build tools that help people understand information, then more people can participate in science and innovation”—a principle vital for neighborhood-scale problem solving in a city of 2.7 million diverse residents.

The socio-economic ripple effects of advancing visualization accessibility in Chicago are substantial. In workforce development, programs at City Colleges of Chicago that teach data literacy could integrate Wang’s principles of intuitive design, helping graduates from backgrounds underrepresented in tech—such as those from the South and West Sides—transition into roles as visualization specialists rather than just data entry clerks. In small business corridors along corridors like Devon Avenue or 79th Street, shop owners could apply simplified visualization tools to interpret sales trends alongside foot traffic data from city sensors, making inventory decisions that reflect local rhythms rather than generic national trends. Even in public safety, the Chicago Police Department’s Strategic Decision Support Centers could enhance their existing visualization walls with Wang’s human-AI collaboration frameworks, ensuring commanders not only see predictive policing models but understand the variables driving those predictions, fostering greater transparency and community trust.

Given my background in data visualization and human-computer collaboration, if this trend impacts you in Chicago, here are the three types of local professionals you need to engage with strategically:

• Civic Data Visualization Specialists: Look for professionals with demonstrable experience working with municipal datasets—particularly those familiar with Chicago’s data portal, the OpenGrid platform, or neighborhood-specific indicators like the Chicago Health Atlas. Prioritize candidates who have collaborated with community organizations or aldermanic offices, as they understand how to translate complex municipal data into accessible visuals for public meetings or grant applications, ensuring your civic initiatives resonate with both residents and city agencies.
• Healthcare AI Transparency Consultants: Seek experts who straddle clinical informatics and visualization design, ideally with experience at institutions like Rush University Medical Center or the Jesse Brown VA Medical Center. Key criteria include proficiency in creating visual explanations of AI-driven diagnostic or prognostic models that clinicians can actually use at the point of care—not just dashboards for administrators—and a track record of validating these tools with frontline medical staff to ensure they reduce cognitive load rather than add to it during high-pressure situations.
• Quantum Literacy Educators: Focus on educators or researchers affiliated with Chicago-area universities (UChicago, IIT, Northwestern) who are actively developing visualization curricula for quantum concepts. Verify they have created or adapted interactive tools—such as those simulating superposition or entanglement—that make abstract quantum principles tangible for non-physicists, whether for undergraduate students, industry professionals exploring quantum-adjacent roles, or even high school STEM programs aiming to build early quantum intuition.

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