People Strategy · Analytics · Future of Work

I bring people scienceto the next era of work.

I combine industrial-organizational psychology, data science, and human-robot/AI collaboration research to help leaders make better decisions about people strategy, organizational performance, technology adoption, and change.

Portrait of Tianyi Zhang
Dual-Degree PhDI-O Psychology + Social Data Analytics
Cross-sectorExperience across business, nonprofit, government and research
1M+Data points handled across applied and research projects
50+Team members recruited, onboarded, developed and led
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About

Trained with I-O rigor.Ready for the future of work.

The workplace is changing. AI, robots, and emerging technologies are reshaping how people work and how organizations make decisions. Succeeding in this new era requires expertise that connects people science, data, and technology.

I am fully trained in the core disciplines of I‑O psychology—from employee selection, training, and psychometrics to performance measurement, team dynamics, and organizational research. Those foundations remain essential for understanding people and building effective workplaces.

I pair that foundation with data science and human-robot/AI research to examine new workplace dynamics at scale. By bringing both sides together, I help organizations define the right questions, build reliable evidence, and make practical decisions about people, technology, and performance.

I‑O Psychology

Data Science

Human-Robot/AI Research

See what I can do for your organization.

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Selected work

Research designed to move from questions to decisions.

A selection of projects spanning human-robot/AI research, people analytics, and computational social science.

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Human-Robot/AI Research

Teaming with intelligent systems in high-stakes work

Investigating how communication patterns shape coordination and performance in human-robot/AI teams through immersive nursing simulations.

  • Experiments
  • Team communication
  • HRI 2026
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People Analytics

Turning workforce sentiment into executive insight

Analyzed a 7,000-entry organizational survey and translated complex patterns into dashboards and recommendations for senior leaders.

  • Survey analytics
  • Visualization
  • Strategy
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Predictive Analytics

Understanding and predicting membership retention

Combined survey research, machine-learning classification, and geospatial visualization to surface the factors associated with retention.

  • Machine learning
  • Tableau
  • Applied research
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Computational Social Science

Studying leadership language at scale

Using natural language processing and topic modeling to examine how evaluations of leaders differ across social categories.

  • NLP
  • Topic modeling
  • Leadership

How I work

Experimental depth.
Computational reach.

I choose methods based on the question—not the other way around—and translate the result into a story decision-makers can use.

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Experimental design

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Statistical modeling

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Machine learning

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Natural language processing

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Network analysis

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Psychometrics

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Data visualization

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Qualitative research

Let's work on what's next

Complex questions deserve
more than one way of thinking.

I'm interested in research and applied opportunities at the intersection of people, data, organizations, and human-robot/AI systems.

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