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At LEAP, nearly 300 Mount Holyoke students present about their internships and research experiences. You will hear from future policy makers, activists, entrepeneurs, data scientists, teachers, researchers, and market analysts. Most will tell stories of unmitigated success and transformative learning. Others will share details of unexpected challenges they faced, and how they were required to shift and adapt in response. Students worked in 42 countries in every imaginable field. They will discuss important issues of social justice, relate how they met challenges of communication and expression in new contexts, and talk about how to find and succeed in summer internships.

LEAP is designed to give students who aspire to undertake internships and summer research the opportunity to learn from their peers. It is also for the whole Mount Holyoke community where family, friends, faculty, staff and our alumnae come together to celebrate the work and contributions of the presenters.

We are hugely impressed by students in College 211 and inspired by their individual success and collective learning. Their work in bringing the LEAP Symposium to fruition was exceptional. We thank the faculty, staff, alumnae, donors, and internship and research providers whose contributions have make this event possible.

LEAP presenters: Congratulations.
avatar for Young  Yang

Young Yang

Economics and Statistics Major
Summer 2017: Data, Research and Programming
Over the summer, I did statistics on-campus research with Professor Tim Chumley in a group of two for eight weeks. Our research topic was a more in-depth study of the Stochastic Processes, which incorporated Brownian Motion, Ito’s Lemma and Differential Equations, etc. This summer was my first time doing academic research, and it was challenging and exciting. I learned about the intricacies of building models and also gained plenty of hands-on experience in programming. In this presentation, I will talk about my academic summer research experience and how I found this opportunity. In addition, I will explore the ways in which programming can add to our research, and how the programming and data analysis came together as a strong foundation for our research project.