Summary
Tan Gemicioglu is a PhD student at Cornell Tech with a decade of experience building wearable sensing and haptic systems that blend human-computer interaction, machine learning, and neuroscience to enable attention-light communication and faster skill acquisition. His research—published at CHI and UbiComp—focuses on passive health interventions, neuromotor rehabilitation, and mobile acoustic sensing for vital signs like blood pressure and respiratory function. He has led applied haptics efforts at Georgia Tech, spun consumer/clinical haptic glove collaborations with Stanford, and built novel hands-free gesture recognizers during a Microsoft Research internship that captured a 50,000-gesture dataset. Equally comfortable in prototype hardware, embedded sensing, and full-stack software, he brings experience shipping systems in ROS/C++, Python, Unity, and Typescript. Based in New York, he aims to make technology more usable and accessible by designing interfaces that learn alongside users—often privileging subtle, physiology-informed interactions that reduce cognitive load.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.89, Bachelor of Science - BS, Computer Science, 3.89 at Georgia Institute of Technology
Doctor of Philosophy - PhD, Information Science, Doctor of Philosophy - PhD, Information Science at Cornell University
High School, High School at Robert College
Turkish, English, German, Japanese, Chinese