Vishal Rana

AI Researcher

Champaign, Illinois, United States10 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in Machine Learning and Deep Learning applications.
Strong background in Computational Biology and Genomics.
Proven experience in research and data analysis.

Stackforce AI infers this person is a Computational Biologist with expertise in Machine Learning and Genomics.

Contact

vishal.rana@stjude.org LinkedIn

Skills

Core Skills

Machine LearningDeep LearningComputational BiologyData Analysis

Other Skills

3D chromatin organizationBase methylation callingC (Programming Language)Cancer GenomicsChIA-Drop experimentsComputer ProgrammingData ScienceDifferential Gene Expression AnalysisDriver gene type predictionElectrical EngineeringGNNsGenomicsGraph Neural NetworksLaTeXLocal methylation state prediction

Experience

10 yrs 10 mos

Total Experience

2 yrs

Average Tenure

1 yr

Current Experience

St. jude children's research hospital

Postdoctoral Researcher

May 2025 – Present · 1 yr

Dyno therapeutics

Intern

May 2022 – Aug 2022 · 3 mos · Boston, Massachusetts, United States

Working with the Computational Biology team.

Coordinated science laboratory at university of illinois

Research Assistant

Aug 2020 – May 2025 · 4 yrs 9 mos · Urbana-Champaign Area

Protein active site modeling using Graph Neural Networks for functional annotation
Base methylation calling from kinetics data using transformers
Online learning for 3D chromatin organization from ChIA-Drop experiments
Semi-quantitative group testing design for qPCR
Driver gene type prediction using GNNs with protein-protein interaction networks
Local methylation state prediction from global NGS expression profiles using Deep Learning.
Differential Gene Expression Analysis for promoter methylation patterns in landmark genes using edgeR.

Protein active site modelingGraph Neural NetworksBase methylation callingtransformersOnline learning3D chromatin organization+13

Carl r. woese institute for genomic biology

Research Assistant

Aug 2018 – Aug 2020 · 2 yrs · Urbana, Illinois, United States

Developed small-sample estimators for support and distribution of mutations in SARS-CoV-2.
Modeled and evaluated semi-quantitative group testing strategies for SARS-CoV-2 RT-PCR tests.
Assessed mutational mutual exclusivity using modified PageRank on protein-protein interaction networks.

small-sample estimatorssupport and distribution of mutationsSARS-CoV-2semi-quantitative group testing strategiesRT-PCR testsmutational mutual exclusivity+4