Academics:
Yale Young Global Scholars – Innovation in Science & Technology (Summer 2024)
Explored interdisciplinary STEM fields including physics, molecular biology, chemistry, engineering, and neuroscience through lectures, labs, and collaborative projects that emphasized inquiry and real-world application.
Capstone: Computer Science
Developed an AI-powered personalized learning platform that integrates educational psychology and adaptive algorithms to enhance engagement and academic growth.
Capstone Presentation
Seminar: Introduction to Microelectronics (Ivan Huang)
Studied semiconductor physics and circuit analysis with a focus on diodes, transistors, MOSFETs, and amplifiers while bridging theory with practical design.
Seminar: Model Fitting: Forecasting Extreme Weather (Mashiko Lortkipanidze)
Applied Bayesian statistical modeling and data analysis to understand climate change through the prediction of extreme weather events.
Seminar: The Crooked Line Between the Finite and the Infinite (Benjamin Grant)
Explored geometric reflections and symmetry using algebraic tools such as Coxeter groups and diagrams to classify mirror configurations.
Seminar: Image Making in the Age of AI (Nahom Seyoum)
Analyzed how AI and computer technologies influence modern image-making, ethics, and artistic expression.
Lecture: Observing Star and Planet Formation (Hector Arce)
Studied star and planet formation using multiwavelength observation and modern astronomical instruments.
Lecture: Nutrition, Food Practices, and Equity (Erica Watson)
Examined how race, culture, and access shape nutrition, health, and food systems with a focus on social equity.
Lecture: Musical Intervention in Medicine (Tom Duffy)
Explored how music-based training helps medical students identify body sounds, blending art and anatomy in diagnostic education.
Lecture: The Scientific Method in Everyday Life (David Hillier)
Investigated how the scientific method can be applied across professions and daily life to improve understanding of the world.
Symposium: CubeSat (Nahom Seyoum, Asher Mehr)
Built and programmed CubeSat prototypes using Arduino sensors to collect environmental data and simulate real-world space research.