Kopal Tare

Kopal Tare learned to see patterns at the spelling bee, decoding intimidating words into Greek roots and Latin prefixes. Years later, the same instinct lights up when she's hunting for a cellular anomaly in a computational-biology dataset at 2 a.m. A senior who just completed Stanford's ultra-selective SIMR program, Kopal has already built a machine-learning model to detect pneumonia in low-bandwidth rural hospitals, conducted biorobotics research for spinal-cord-injury patients, and published on the overlap between biological and artificial neural networks. But she's just as proud of the access she creates: Bee Stars, her free etymology-and-linguistics tutoring program, has reached more than 150 students, and her SWENext chapter grew from a handful of members to over a hundred. Her north star is equity that's earned through hustle — research depth on one hand, immediate real-world action on the other.