Postdoctoral Research Fellow, Neurology and Neurological Sciences
Róbert Pálovics is a Postdoctoral Scholar at Neurology and Neurological Sciences at Stanford School of Medicine. He received his Ph.D. in computer science at the University of Technology and Economics in Hungary. His research lies in the intersection of machine learning and data science with a strong focus on extracting key insights from large-scale datasets.
At Stanford, Róbert analyzes massive data from single-cell sequencing experiments and develops computational methods in order to understand aging at the cell level.
SAGE Project: Developing machine learning methods to infer clinical measures of cognitive impairment from single-cell transcriptomics data
Cognitive impairment is often not diagnosed in early stages of the dementia trajectory. Patients from ethnic minorities are particularly vulnerable to the huge burdens imposed by dementia due to their lesser access to quality care. In our project we will make use of the rich multimodal data available in the Stanford Alzheimer’s Disease Research Center of Latinx American and Caucasian participants to pave the way for the early diagnosis of cognitive impairment. We intend to utilize robust machine learning models to associate transcriptomic signatures from next-generation single-cell RNA-sequencing data with baseline measures of cognitive impairment.