Epilepsy Diagnosis Using miRNA Biomarkers & Machine Learning
Computational Biology
Researcher & First Author
Developed novel ML model to classify epilepsy-related miRNAs under UCSD Professor Igor Tsigelny
ML model achieved 87% accuracy, can be used in epilepsy diagnostics to achieve more accurate results
Analyzed protein networks & neural pathways, utilized miRNA nucleotide sequence and target gene attributes
2nd place in 2024 Greater San Diego Science Fair
Submitted paper to Acta Epileptologica (ISSN: 2524-4434)
Series of Advanced SLAM Processes and Applications
Robotics
Researcher & First Author
Researched the SLAM (Simultaneous Localization & Mapping) algorithm and its applications in robotics
Analyzed mathematical models, feature extraction, time complexity, uncertainty, & error
Took Robot Autonomy course by Georgia Tech professor to expand SLAM knowledge
Published paper in Journal of Applied and Computational Engineering (ISSN: 2755-2721)