Project: Machine learning based high-throughput immune cell receptor sequencing analysis to inform immunological response

Skills: R, R-shiny, Machine Learning, Deep Learning

Collaborator: Dr. Richard DiPaolo, Saint Louis Univ. School of Medicine

Papers: [20]

Skills: R, R-shiny, Machine Learning, Deep Learning

Collaborator: Dr. Richard DiPaolo, Saint Louis Univ. School of Medicine

Papers: [20]

Project: Gene Length-Dependent Expression Analysis Tool in Neuronal Cells

Skills: R, R-shiny, BioMart, GO analysis

Collaborator: Dr. Andrew Yoo, Washington Univ. School of Medicine

Papers: [19]

Skills: R, R-shiny, BioMart, GO analysis

Collaborator: Dr. Andrew Yoo, Washington Univ. School of Medicine

Papers: [19]

Project: Scalable Overlap-Graph Reduction Algorithms for Genome Assembly using Apache Spark on Cloud

Skills: Spark, GraphX, Amazon Cloud, Scala, Python, Shell

Papers: [21], [18]

Skills: Spark, GraphX, Amazon Cloud, Scala, Python, Shell

Papers: [21], [18]

Project: Strain-level genome identification algorithm for biosurveillance using high-performance computing

Skills: C++, Python, MPI, OpenMP, Supercomputer

Papers: [15]

Skills: C++, Python, MPI, OpenMP, Supercomputer

Papers: [15]

Project: MATLAB on the HPC Grid: Maximizing and Optimizing the Capability in Phameceutical Modeling and Simulation

Skills: MATLAB, MATLAB Parallel Computing Toolbox, Distributed Computing Server

Skills: MATLAB, MATLAB Parallel Computing Toolbox, Distributed Computing Server

Project: Investigating massive parallel genomic search application, mpiBLAST, on a macroscale simulator (SST/Macro)

Skills: C++, Python, MPI, OpenMP, Supercomputer

Papers: [10], [6]

Skills: C++, Python, MPI, OpenMP, Supercomputer

Papers: [10], [6]