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.

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

Using pretrained LLM and ViTs to Predict Epileptic Seizure