SURESH VENKATESWARAN
Sugar Hill,GA
Summary
Innovative AI Engineer and Bioinformatics Scientist with a strong track record in developing production AI platforms that drive precision oncology and clinical decision support. Proven ability to lead multidisciplinary teams, optimizing data pipelines and enhancing operational efficiency through AI-assisted frameworks and advanced analytics in cloud environments.
Overview
18
18
years of professional experience
Work History
SENIOR BIOINFORMATICS SCIENTIST / ENGINEER
Southern Research Institute
Birmingham, AL
08.2025 - Current
- Led development of production AI and data platforms integrating genomic clinical and operational data for intelligent decision support.
- Architected workflow orchestration platforms supporting scalable AI pipelines and distributed execution across cloud and HPC environments.
- Designed and implemented scalable production data pipelines using Python, Nextflow, SQL, and cloud-native technologies.
- Developed AI-assisted quality assurance frameworks using rule-based analytics and machine learning to improve accuracy of automated data interpretation.
- Conducted performance benchmarking and optimization of large-scale computational pipelines, enhancing scalability and reliability.
- Translated clinical trial protocols into computational frameworks using FHIR-based models for cohort identification and patient stratification.
- Engineered interactive AI analytics platforms for monitoring workflows, visualizing data, and creating operational dashboards.
- Built Java-based REST API integration services connecting LabKey, HubSpot, and Myome for automated processing of clinical data.
FULL STACK BIOINFORMATICIAN / ENGINEER
Zephyr AI / Aster Insights / M2GEN
Tampa, FL
05.2022 - 08.2025
- Led development of enterprise AI and bioinformatics platforms supporting precision oncology, clinical decision support, and multi-modal data analytics across large-scale clinical and molecular datasets.
- Architected and maintained cBioPortal ecosystems integrating clinical, genomic, transcriptomic, and longitudinal oncology data, enabling scalable data exploration and AI-assisted scientific analysis.
- Designed and implemented scalable cloud-native data pipelines using Azure Data Lake, Azure Databricks, Azure Data Studio, SQL, and Python for ingestion, transformation, harmonization, and analytics of large clinical and genomic datasets.
- Developed distributed ETL workflows and data integration pipelines for structured and semi-structured healthcare data using Azure cloud services and enterprise data engineering best practices, enhancing data accessibility.
- Built Java-based REST API services to integrate clinical research platforms, laboratory systems, and enterprise applications, automating secure data exchange and streamlining workflow orchestration.
- Developed scalable WES, RNA-seq, and multi-omics analysis workflows using Nextflow, Cromwell, Docker, Azure, AWS, and HPC environments supporting production bioinformatics operations.
- Implemented CI/CD-enabled computational workflows and containerized applications with cloud-native deployment strategies, enhancing reproducibility and scalability of bioinformatics operations.
ASSISTANT BIOINFORMATICS SCIENTIST / RESEARCH ASSOCIATE
Emory University
Atlanta, GA
09.2015 - 05.2022
- Designed scalable computational frameworks that integrated molecular and clinical data for predictive analytics and precision medicine.
- Led large-scale AI-enabled multi-omics analytics, integrating whole-genome sequencing and bulk RNA-seq to investigate disease mechanisms.
- Applied machine learning and statistical genetics approaches to identify disease-associated biomarkers and clinical outcome signatures.
- Developed multi-modal data integration frameworks that advanced biomarker discovery in precision medicine.
- Integrated population-scale datasets to facilitate analytics and drive biological discoveries.
- Collaborated with multidisciplinary teams to translate scientific questions into actionable AI-driven solutions.
- Mentored graduate students and researchers in computational genomics and scalable bioinformatics methodologies.
- Published high-impact research in leading journals, enhancing understanding of computational genomics and translational medicine.
POSTDOCTORAL RESEARCH
Wake Forest Baptist Medical Center
Winston-Salem, NC
12.2013 - 09.2015
- Developed machine learning frameworks for RNA-protein interaction prediction, enhancing understanding of molecular interactions through structural features and biophysical data.
- Applied machine learning algorithms and data mining techniques on large-scale biological datasets, advancing predictive analytics.
- Designed predictive AI models to enhance computational accuracy and model interpretability through feature engineering.
- Created scalable data processing pipelines that integrated sequence-derived structural and functional biological information, streamlining data analysis for large-scale biological studies.
- Collaborated with multidisciplinary teams to validate predictive models, translating findings into analytical frameworks that supported decision-making in research applications.
- Published peer-reviewed research in high-impact journals, advancing machine learning applications in computational biology.
JUNIOR/SENIOR RESEARCH (DOCTORAL STUDY)
Bharathidasan University
Tiruchirappalli, India
08.2008 - 07.2013
- Developed machine learning methods for protein structure prediction, enhancing accuracy in molecular feature characterization.
- Designed predictive AI models utilizing sequence profiles, structural descriptors, and evolutionary features.
- Architected researcher-facing software platforms and biological databases to enhance data management and analysis.
- Built scalable data processing pipelines for high-dimensional biological datasets, improving data accessibility and analysis efficiency.
- Created scientific software and database applications with Java, Python, SQL, and Linux for reproducible research.
- Mentored students and collaborative researchers in computational biology and machine learning methodologies, fostering skill development and collaborative research outcomes.
Education
PHD - BIOINFORMATICS
Bharathidasan University
Trichirappalli, India07-2013
MS - BIOINFORMATICS
Bharathiar University
Coimbatore, India05-2008
BS - PLANT BIOLOGY & BIOTECHNOLOGY
Bharathiar University
Coimbatore, India05-2006
Skills
- Clinical analytics
- Bioinformatics software development
- Predictive modeling
- Data integration
- Genomic data integration
- Big data
- Cloud computing
- Data analysis
- Project management
- Team collaboration
- Documentation skills
PUBLICATIONS
- Https://scholar.google.com/citations?user=hDF59igAAAAJ&hl=en
Timeline
SENIOR BIOINFORMATICS SCIENTIST / ENGINEER
Southern Research Institute
08.2025 - Current
FULL STACK BIOINFORMATICIAN / ENGINEER
Zephyr AI / Aster Insights / M2GEN
05.2022 - 08.2025
ASSISTANT BIOINFORMATICS SCIENTIST / RESEARCH ASSOCIATE
Emory University
09.2015 - 05.2022
POSTDOCTORAL RESEARCH
Wake Forest Baptist Medical Center
12.2013 - 09.2015
JUNIOR/SENIOR RESEARCH (DOCTORAL STUDY)
Bharathidasan University
08.2008 - 07.2013
PHD - BIOINFORMATICS
Bharathidasan University
MS - BIOINFORMATICS
Bharathiar University
BS - PLANT BIOLOGY & BIOTECHNOLOGY
Bharathiar University