Breaking new ground in neuroscience through innovative EEG research. Leveraging advanced techniques in both EEG research and statistical modeling to analyze complex brain signals, with the goal of identifying biomarkers for conditions like ADHD

Fai Khalid Alismail's research interests extend to the analysis of brain signals, particularly focusing on identifying biomarkers that can distinguish children with ADHD (Attention Deficit Hyperactivity Disorder) from others. This research direction aligns with her academic background in bioinformatics and biostatistics, as well as her professional experience as a Data Scientist.

Her goal is to contribute to the field of neuroscience by leveraging advanced statistical methods to analyze EEG (Electroencephalography) data. EEG data provides valuable insights into brain activity and can serve as a powerful tool for understanding neurodevelopmental disorders such as ADHD.

Fai aims for proficiency in collecting EEG data, recognizing the importance of high-quality data acquisition for robust and reliable analysis.