About

Eugene Kang is an interdisciplinary student researcher whose work spans cancer biology, data science, and science communication. In oncology, he investigates how traditional Asian medicinal techniques and pharmacopeias can be evaluated within contemporary Western research frameworks, focusing on mechanisms, safety, and potential adjunctive applications. He prioritizes rigorous methodology—literature synthesis, experimental controls, and transparent reporting—to separate promising hypotheses from folklore.

In parallel, Eugene builds machine-learning models for space-weather forecasting, applying time-series modeling and pattern recognition to anticipate solar activity and its downstream effects on Earth. His technical interests include model interpretability, cross-dataset validation, calibration of predictive uncertainty, and reproducible pipelines.

Beyond the lab, Eugene founded GESRI, a nonprofit student journal that mentors secondary and undergraduate scholars through peer review and editorial coaching and publishes open-access articles. GESRI’s mission is to lower barriers to entry, teach clear scientific writing, and connect early-career researchers with a supportive community.

Across these efforts, Eugene’s throughline is translation: bridging traditions and toolsets, turning complex methods into understandable stories, and widening access to credible science. He is motivated by the belief that careful methods, cultural humility, and open practices make research both more trustworthy and more inclusive. He currently studies at Harrison High School (’26) and collaborates with mentors across academic and clinical settings.