Waseem Haider
 Doctoral program on Inequalities, Interventions and New Welfare State (DPInvest)

INVEST Flagship




Labor market inequalities and mental health of migrants, Quantitative research methods



I am a lifelong learner, always seeking new opportunities for growth and self-improvement. I am a hard worker, known for my dedication and perseverance. I love staying active, whether it's through sports and workouts, or by embracing the great outdoors. Nature and traveling are two of my biggest passions, and I am always seeking new adventures and experiences.

I have five years of experience as a teacher at a medical university, and I have a deep commitment to education and a love for humanity. I want to make a positive impact on the world, and I am driven by a desire to help others. I aim to become a leading researcher and an effective teacher, constantly working to expand my understanding of the world and sharing my knowledge with others.

At the core of who I am is a passion for growth, a love of learning, and a deep commitment to making a difference. Whether in the classroom, in my research, or in my community, I am driven by a desire to inspire, educate, and improve the world around me.


My research focuses on investigating the connections between migration, labor market participation, and the mental health of migrants. My goal is to comprehend how migration influences an individual's ability to participate in the labor market and the effects it has on their mental health. I am also investigating the contextual factors in host countries that affect the experiences of migrants and their impact on labor market inequalities and mental health. The aim is to examine the complex relationship between migration, host country context, and well-being to deepen our understanding of the challenges faced by migrants and identify areas for improvement. I believe that a comprehensive understanding of these issues is crucial for promoting fair outcomes for migrants and reducing persistent inequalities in the labor market.


Causal inference, Longitudinal and multi-level modelling


Last updated on 2023-07-03 at 17:20