Born and raised in San Diego, California, Adelina is a pre-law student majoring in Sociology with interests in education policy, immigration law and the intersections of race and political representation. As a Chicana scholar committed to utilizing well-informed research as a pathway to meaningful action, she believes in uplifting overlooked histories as pathways to empowerment. Her Laidlaw research investigates how the forced displacement of Mexican American families from Chávez Ravine to construct Dodger Stadium shapes the relationship between the L.A. Dodgers and Latino communities. Outside of being a Laidlaw Scholar, Adelina remains committed to public service by continuing to advocate for youth-centered policy initiatives as Governor Gavin Newsom's appointee to the California Youth Empowerment Commission. She has also worked with New York City's Project Rousseau as an Immigration Legal Services Intern and conducted research with the Columbia University Policy Institute, further developing her interests in civic engagement, educational equity and policy reform. As a Barnard pre-law student, Adelina is committed to pursuing a legal career dedicated to advancing representation and justice for historically marginalized communities.

Hi, I’m Isabella! I am a rising third year student at Georgetown University studying American Studies and Women’s and Gender Studies with  research focus on sexual violence, Christian nationalism, and gender policy. I am an educator and advocate for sexual violence prevention at both a cultural and legislative level.  This summer, I will be working with Dr. Nadia Brown and a fellow scholar to understand the occurrence and effects of violence against local-level women politicians. I am particularly interested in the influence of digital abuse involving AI and the effect that sexual harassment has on women’s political participation.  Please feel free to reach out! Email: ibw9@georgetown.edu

Hello! My name is Lily and I am a 2nd year Psychology student at Trinity College Dublin, and a member of the Laidlaw Leadership and Research Scholars 2026 Cohort.  I'm interested in all things early adversity; who experiences it, what it looks like, how it affects people and what can be done to help those who have lived through it. More specifically, my research project in Summer 1 will focus on Environmental Sensitivity theory in a cohort of Syrian refugee children in Jordan. My goal with this research is to identify whether interventions may uplift children who have experienced adversity, and actually help them to thrive above and beyond their peers! I am especially interested in connecting with anyone involved in research into early adversity, Environmental Sensitivity theory or any related topics. I would also love to explore volunteering opportunities in this space! 

Hi! My name is Mai Malesky, and I am a rising second-year student from Durham, NC, planning to double-major in Political Science and Economics. I am passionate about the interdisciplinary field of Behavioral Sciences, especially its capacity to explore why voters become apathetic, how authoritarian regimes emerge, and how disenfranchised citizens can resist political exploitation. My commitment to public service and civic engagement is inspired by my experience working with grassroots organizations in my local community. These experiences allowed me to see firsthand the power of grassroots action to create change. I am excited to be a part of the Laidlaw Scholars Program and to join fellow students devoted to ethical leadership and service, working to make a difference on a local, national, and global scale.

I'm entering my second year at HKU this fall. It wasn't until now that I have somewhat solidified my interests to be at the intersection of Sustainability, Conservation, and Urban Planning of Asian Cities. Before joining uni, I took over three gap years working around the world and reflecting on my many identities. My work has spanned across Edtech, Heritage Conservation, Food Security, Nature Conservation, Policy Analysis, and Social Impact Sectors across the Global South. Beyond my work and research, I love to listen to music produced during from the 60s to 80s in anywhere around the world. I also love doing crafts as it notoriously saves me from supposed doomscrolling on Instagram. Also, I am secretly considering to debut as a private chef someday... who knows!?

I am currently a junior at Barnard College of Columbia University studying Computational Biology with a minor in Economics. Through my coursework and research experiences, I have developed a strong foundation in data analysis, quantitative modeling, and computational approaches to complex biological and social systems. My background in economics has further shaped how I think about resource allocation, structural inequality, and policy impacts at scale. I am particularly interested in applying data science and computational methods to questions in public health, migration, environmental justice, and global health systems. Much of my work focuses on how large-scale systems, whether healthcare infrastructure, environmental conditions, or social policy, shape health outcomes for marginalized populations. I am especially drawn to research involving spatial analysis, longitudinal datasets, and health data infrastructure, as well as projects that bridge technical analysis with real-world policy and community impact.

Hi everyone! My name is Anna and I'm part of the 2026 Laidlaw Scholars cohort at Trinity College Dublin, where I study Mathematics with a minor in Statistics. For my research project, I'll be exploring a question that is becoming more important as AI develops: who is better at predicting the future, humans or algorithms? I'll be comparing forecasts from machine learning models with those from prediction markets, where collective human judgement is turned into live probabilities. After the 2024 US elections, prediction markets rapidly gained attention for correctly predicting the outcome before many traditional forecasts. At the same time, AI is making data-driven forecasting more powerful than ever. Through quantitative analysis, I'm curious to see whether the best predictions come from human insight, algorithmic pattern recognition, or perhaps a combination of both. More broadly, I am interested in using mathematics to better understand and solve real-world problems like this one. I'm especially drawn to the way it combines logic with creativity, allowing us to approach challenges from different angles and develop efficient and innovative solutions. Outside of academics, I'm also a huge music lover, from hip hop and rock to hard techno. For me, a good time almost always involves music, dancing, or both :) Feel free to reach out if you want to discuss research, share music recommendations, or simply chat!