Pavan Ramkumar

The paper assesses AAV serotype transduction efficiency in human cortical organoids, showing cell-specific tropism and donor variability.

This study creates a C4A overexpressing neuroimmune cortical organoid model that exhibits schizophrenia endophenotypes like inflammation and synaptic pruning.

This paper introduces a non-parametric method to detect hierarchical confounders in biological datasets and demonstrates its application in biomedical image and multi-phenotypic data.

Demuxalot improves genetic demultiplexing for single-cell RNA sequencing by enhancing accuracy and efficiency in multi-batch, multi-donor studies.

This paper develops an automated system to scale patient-derived brain organoids, revealing consistent donor and batch effects and demonstrating reproducible disease phenotypes in tuberous sclerosis models.

This study compares GLMs to machine learning methods for predicting neural spikes and finds that modern methods like XGBoost and ensembles are more accurate and robust.

The paper shows that dorsal premotor cortex encodes probability distributions of upcoming movements based on body state, while primary motor cortex does not.