Bliss’ AI Research Journey: From Passion Project to Regeneron ISEF to the IEE Conference to University of Pennsylvania
Exploring the Power of AI
Unveiling Intractable Epileptogenic Brain Networks with Independent Component Analysis and Deep Learning: A Novel and Comprehensive Framework for Scalable Seizure Prediction in Unimodal Neuroimaging Data in Pediatric Patients
When Bliss joined the Inspirit AI + X 1:1 Mentorship Program, she was eager to dive deep into the intersection of artificial intelligence and epilepsy and seizure prevention/prediction. After exploring several ideas with her mentor, she landed on a project titled Unveiling Intractable Epileptogenic Brain Networks with Independent Component Analysis and Deep Learning: A Novel and Comprehensive Framework for Scalable Seizure Prediction in Unimodal Neuroimaging Data in Pediatric Patients.
Bliss chose this topic because of her long-standing interest in epilepsy and seizure prevention/prediction, and wanted to explore how AI could drive real-world impact in this field.
“My project focused on leveraging machine learning to predict seizures hours in advance using EEG data from pediatric patients with intractable epilepsy. I incorporated independent component analysis for signal preprocessing, multiple deep learning models for feature extraction, and classification algorithms such as logistic regression, k-nearest neighbors, and decision trees to enhance predictive accuracy. By refining these models, I aimed to create a robust system capable of providing reliable early seizure warnings.
My motivation for this project was deeply personal. My grandfather has intractable epilepsy, which severely limits his daily life. The constant fear of an unexpected seizure prevents him from leaving the house or engaging in regular activities, confining him to his home. Witnessing how epilepsy restricted his independence inspired me to explore ways to help patients anticipate seizures, allowing them to take necessary precautions and live with greater confidence. I wanted to develop a predictive model that could empower individuals like my grandfather, reducing anxiety and improving their quality of life.
By advancing seizure prediction technology, I hope to contribute to a future where epilepsy patients are no longer defined by uncertainty but instead have the freedom to move forward without fear.”
One-on-One Mentorship That Makes a Difference
For Bliss, the most valuable part of the 1:1 Mentorship Program was having a mentor to hold her accountable.
Working closely with a mentor from Stanford, Bliss gained not only technical knowledge but also the confidence to ask bold questions, iterate on ideas, and learn from failures. The structured yet flexible nature of the program helped her go from concept to publication-ready research in just a few months.
“The most valuable part of the Inspirit AI program was the regular meetings, which kept me accountable and ensured steady progress on my project. Having a structured schedule helped me stay engaged and actively working.
Additionally, the guidance from my mentor was invaluable, providing clear advice whenever I faced challenges. The combination of consistent check-ins and expert mentorship made the experience both productive and rewarding.”
From Research to Recognition: Bliss’ Awards and Achievements
Her project has since earned Bliss recognition in several prestigious venues. Her work was accepted into Regeneron ISEF and the IEEE Conference, showcasing her contribution to cutting-edge high school research.
Beyond the accolades, the experience gave Bliss a major confidence boost in her academic journey. Bliss has since gone on to attend University of Pennsylvania and continues to explore AI and computer science through further research and coursework.
About the Inspirit AI 1:1 AI + X Mentorship Program
The Inspirit AI 1:1 AI + X Mentorship Program is a personalized research experience designed for ambitious high school students interested in exploring the intersection of artificial intelligence and their unique areas of interest—ranging from medicine and neuroscience to climate science, economics, and beyond.
Students are paired with expert mentors from top institutions like Stanford, MIT, and Harvard, who guide them step-by-step through the process of designing, developing, and writing a publication-ready AI research project. The program equips students with both the technical skills and research mindset needed to produce original work, with the ultimate goal of submitting their projects to top high school journals, science fairs, and competitions.
The Value of Building an AI Research Project as a High Schooler
Publishing a research project as a high school student offers a powerful opportunity to stand out academically, demonstrate initiative, and showcase a deep commitment to learning beyond the classroom. It not only strengthens college applications by highlighting intellectual curiosity and advanced problem-solving skills, but also gives students experience with real-world scientific communication and academic rigor.
Whether submitted to a peer-reviewed journal or a high school research publication, having published work signals to universities and scholarship committees that a student is capable of producing meaningful, original contributions to their field of interest—something few high schoolers can claim.
Ready to turn your passion into a published AI research project? Apply to the Inspirit AI 1:1 AI + X Mentorship Program today and work one-on-one with expert mentors from top universities to bring your ideas to life. Spots are limited—take the first step toward making your mark in the world of AI research!
