ESR mentors students at a wide range of educational levels, from high school to graduate students. Meet some of our interns and find out about their exciting work.
Graduate Level
Ee Qi is a graduate student in Computer Science at Northeastern University. Her current research with the ESR focuses on developing deep learning models to predict sea ice concentration, contributing to the understanding of Arctic dynamics and supporting climate resilience strategies. Her work combines satellite data analysis with computational modeling, using interdisciplinary approaches. Outside of her academic pursuits, Ee Qi enjoys hiking and is actively involved in volunteer work, both of which inspire her commitment to environmental sustainability and addressing global environmental challenges.
David is a graduate student in Computer Science at Northeastern University in Seattle, Washington, where his coursework is focused on computer vision and artificial intelligence. Through Northeastern he has engaged in research related to terrain classification and the effects of non-sRGB color spaces in machine learning-based vision models. David brings this experience and a passion for data science to ESR as a Machine Learning Engineering Intern – specifically, he is working alongside other interns from Northeastern Seattle to build a predictive model that can forecast sea ice concentrations in the Arctic Ocean. After graduating, David hopes to continue using his background in computer vision, machine learning, and data science to support scientific research. Outside of work and class, David enjoys rock climbing and playing basketball.
Wayne is a Machine Learning Engineer Intern at ESR, specializing in spatiotemporal data engineering and machine learning applications. Before earning his master’s degree in Computer Science from Northeastern University, he worked as a professional architectural designer, focusing on green technology and building information modeling.
Wayne’s expertise spans software engineering, machine learning applications, and cloud computing. He is passionate about the transformative rise of AI and is eager to leverage these technologies to empower industries and drive innovation. In his free time, he enjoys golf, cooking, and outdoor adventures.
High School Students
Swaraag S. is a rising 12th grader at Lakeside School in Seattle, Washington. In the past, he has investigated the relationship between environmental variables and Antarctic sea ice levels as well as company sales. He is currently analyzing Summit Station, Greenland’s climate using data science techniques to better understand what variables form and impact Summit Station. In his free time, he likes to listen to and compose music and play sports.
Learn more about Swaraag’s Research on Greenland
Learn more about Swaraag’s Research on Optimizing Weather-related Sales through his write-up and poster
Fatoumata is a rising freshman that is attending the Lakeside school. She is an enthusiastic and creative student who enjoys coding and is on her way to using those skills to solve climate related problems. This summer, her goal is to use her coding skills to work with data from the summit station in Greenland.
Felicity W. is a high school student at Lakeside who has always had a passion for the sciences, particularly biology and environmental science. She has participated in research projects such as the Lakeside LSRI program and is excited to be working on The Mount Baker Climate Laboratory project. In addition to her love of science, Felicity W also enjoys gardening and spending time outdoors in her free time.