Hana Van Elst
Lecturer and researcher
Contact:
- email: hana.vanelst@ucll.be
UC Leuven-Limburg UAS
Human Resources
Human Resources
Highest degree:
Masters
Degree name:
Master Psychology
Area of expertise:
Social sciences
Skills:
My expertise lies at the intersection of human resources and generative AI. I explore how AI tools are reshaping HR practices, from talent development and career coaching to inclusive hiring and workforce planning. A core focus of my work is the responsible adoption of generative AI within organizations, examining both its opportunities and risks for employees and teams.
A key area of my work involves inclusion and diversity, translating research insights and policy frameworks into practical interventions that promote equity in organizational settings.
Career development is a longstanding area of professional interest for me, spanning career coaching, competency frameworks, and supporting individuals through transitions and growth. I am particularly drawn to the question of how people discover, articulate, and develop their professional identity over time.
Looking ahead, I see significant potential in combining career development with generative AI, for example, through AI-assisted career coaching tools, personalized learning pathways, or intelligent systems that help individuals map their skills and explore new directions. I am eager to explore how these technologies can be deployed in a human-centered and equitable way, augmenting rather than replacing the human connection at the heart of career guidance.
A key area of my work involves inclusion and diversity, translating research insights and policy frameworks into practical interventions that promote equity in organizational settings.
Career development is a longstanding area of professional interest for me, spanning career coaching, competency frameworks, and supporting individuals through transitions and growth. I am particularly drawn to the question of how people discover, articulate, and develop their professional identity over time.
Looking ahead, I see significant potential in combining career development with generative AI, for example, through AI-assisted career coaching tools, personalized learning pathways, or intelligent systems that help individuals map their skills and explore new directions. I am eager to explore how these technologies can be deployed in a human-centered and equitable way, augmenting rather than replacing the human connection at the heart of career guidance.