End-to-end ML pipeline for Data Dependent Acquisition (DDA) MS data

HPC software infrastructure for processing tera-scale MS data

An interconnected set of open source machine-learning models for large-scale mass spectrometry based omics analysis.

Using pretrained LLM and ViTs to Predict Epileptic Seizure

Self-supervised learning framework for disorder classification from fMRI data

ML algorithm identifying Austin and atypical brains using fMRI data

ML algorithm for computing similarity between two multivariate fMRI time series

Linear-time tool that allows massive reduction in amount of mass spectrometry data

ML algorithm for computing similarity between two multivariate time series applied to ADHD-200 data

Clusters any time-series data set, specifically iTRAQ LC-MS/MS data sets

Hybrid strategy between MPI and OpenMP to accelerate the compression of big FASTQ datasets