Open to opportunities

Sree krishna Chanumolu

@sreekrishnachanumolu

Message

Bioinformatics scientist building deep-learning genomics pipelines for diagnostics and insights.

United States

Message

What I'm looking for

I’m looking for a research-focused role where I can build production-ready bioinformatics pipelines—especially with deep learning for sequencing data—and collaborate to translate computation into diagnostics, publications, and measurable scientific outcomes.

I’m a bioinformatics scientist who builds end-to-end computational pipelines for genomics and metagenomics, turning raw sequencing data into actionable biological insight. At GeneFront INC., I developed automated metagenomics workflows covering sequence assembly, parallel programming, deep learning, bacterial taxonomy, metabolic network connectivity, motif distribution, and organism abundance estimation.

My work also focuses on genome-scale problem solving for complex samples. I created algorithms for barcode-based de novo genome assembly and haplotyping for diploid and multispecies cases, and I delivered documentation, presentations, and quarterly reporting to support scientific and product decisions.

Before returning to research in the U.S., I served as Founding Director at GeneFront Pharma Pvt. Ltd., executing bioinformatics and computational biology R&D for IVD kit development and diagnostic marker identification. Today, I continue that same mindset in postdoctoral roles—developing deep learning applications for genomic variant selection and probabilistic-graph approaches for interaction atlas discovery.

Experience

Work history, roles, and key accomplishments

Current

Postdoctoral Research Associate

Current

University of Nebraska-Lincoln

Jan 2023 - Present (3 years 5 months)

Developed deep learning methods to select minimal genomic variant sets from low-pass whole-genome sequencing data to predict cattle phenotypes, supporting genotype-to-phenotype modeling.

Deep Learning Genomic Variant Selection Phenotypes Low Pass Whole Genome Sequencing Machine Learning Statistical Genetics Genomics

Bioinformatics Scientist

GeneFront Inc.

Jan 2021 - Jan 2023 (2 years)

Developed an automated metagenomics analysis application using sequence assembly, parallel programming, deep learning, taxonomy, metabolic network connectivity, motif distributions, and organism abundancy estimation; processed 700M sheep reads to estimate ~498 organisms and their abundancies.

Perl Python Metagenomics Deep Learning Bacterial Taxonomy Docker GitHub

Postdoctoral Research Scholar

University of Nebraska-Lincoln

Jan 2016 - Jan 2021 (5 years)

Conducted research on interaction atlases and pathway analysis, including improvements to Bayesian Pathway Analysis, KEGG2Net for pathway-derived gene interaction networks, and FQStat for parallel high-speed FASTQ sequencing quality assessment.

Gene Expression Analysis KEGG Pathways Network Analysis Parallel Computing

Founding Director

GeneFront Pharma Pvt. Ltd.

Jan 2010 - Jan 2016 (6 years)

Led bioinformatics and computational biology R&D to develop IVD kits, including malarial strain–specific diagnostics for Africa/China/India, dengue envelope-protein diagnostic kits, therapeutic peptide candidates via antibody engineering, and molecular genomic markers for bacterial and viral diagnostic kit development.

Bioinformatics Computational Biology IVD Development Molecular Diagnostics Genomic Marker Discovery Antibody Engineering Regulatory Documentation Project Management Sales and Marketing

Visiting Research Faculty

University of Nebraska at Omaha

Jan 2013 - Jan 2014 (1 year)

Used NGS-based computational methods to identify genes contributing to picrosides (secondary metabolite) production in Picrorhiza kurroa via correlation networks and network pruning approaches.

Correlation Networks Secondary Metabolite Biosynthesis Gene Discovery Computational Biology Systems Analysis

Education

Degrees, certifications, and relevant coursework

University of Nebraska-Lincoln

Postdoctoral Research Associate, Bioinformatics

2023 -

Postdoctoral Research Associate developing deep learning applications to identify the minimal set of genomic variants in cattle to predict phenotypes from low-pass whole-genome sequencing data.

University of Nebraska-Lincoln

Postdoctoral Research Scholar, Bioinformatics

2016 - 2021

Postdoctoral Research Scholar working on human interaction atlases, Bayesian pathway analysis, KEGG2Net pathway interaction networks, and FQStat sequencing quality assessment.

University of Nebraska at Omaha

Visiting Research Faculty, Bioinformatics

2013 - 2014

Visiting Research Faculty; project used correlation networks and network pruning methods on NGS data to identify genes contributing to medicinal value secondary metabolites (Picrosides) in Picrorhiza kurroa.

Jaypee University of Information Technology

Doctor of Philosophy (PhD) in Bioinformatics, Bioinformatics

2007 - 2013

Earned a Ph.D. in Bioinformatics (2007–2013); thesis focused on computational analysis of bacterial genomes for drug target discovery and understanding the role of SSRS in pathogen evolution.

Jaypee University of Information Technology

Master of Technology (M.Tech.) in Biotechnology (Bioinformatics), Bioinformatics

2006 - 2007

Earned an M.Tech. in Biotechnology with specialization in Bioinformatics (2006–2007); thesis focused on computational analysis of bacterial genomes for drug target discovery.