Hello! I’m Kyunghun Lee, a dedicated staff scientist at Emotion and Development Branch (EDB) at the National Institutes of Health (NIH). Under the guidance of Dr. Daniel Pine from the Section on Development and Affective Neuroscience (SDAN) and Dr. Melissa Brotman from the Neuroscience and Novel Therapeutics Unit (NNT), my work at the NIH lab centers around computational analysis and software design. I provide support to NIH researchers throughout every phase of the automated software workflow.
My comprehensive expertise in smartphone application development, software design, machine learning application development, and physiological data collection using innovative technologies such as the Apple Watch has honed my ability to contribute significantly to children’s mental health research. I develop intuitive applications that capture real-time behavioral and physiological data, offering a comprehensive perspective on a child’s mental health status and facilitating timely interventions. Moreover, my work in psychological game software development enhances data collection methods by integrating an element of engagement, thereby improving user participation and yielding a deeper understanding of children’s cognitive and emotional behaviors.
Leveraging machine learning applications, I can navigate vast, multi-dimensional datasets to identify patterns, correlations, and predict potential mental health issues, which can inform personalized treatment strategies. My unique blend of skills and experiences enables me to contribute towards making mental health research more proactive, predictive, and personalized, addressing a critical need in our current health ecosystem.
I earned my Ph.D. in Electrical and Computer Engineering in 2018 from the University of Maryland, College Park (UMD), under the mentorship of Professor Shuvra S. Bhattacharyya. This rigorous academic journey has laid a strong foundation for my current work, shaping my expertise in computational analysis and technological applications in healthcare.