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 leverages data from large-scale biological studies describing organisms at the cellular level and uses machine learning (ML), statistical methods and network science to understand aging and neurodegeneration. He seeks to understand the functional changes with aging starting from the cell level and search for signatures that will serve as the basis for rejuvenation and interventions to prevent or delay age-related diseases. Róbert’s research is highly interdisciplinary and has made signiﬁcant contributions to both computer science and to neuroscience. His research in aging has been published in multiple Nature articles and his work in computer science has been published in premier machine learning and data mining venues such as the International Conference on Machine Learning.
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.