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Portrait of Ashok Kumar Dwivedi

Hello, I'm

Ashok Kumar Dwivedi

Ph.D. in Bioinformatics with 10+ years bridging computational biology, machine learning & enterprise AI systems — from HIV genomics research to building biological digital-twin platforms and knowledge-graph driven clinical intelligence.

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01 — About Me

Turning Complex Biology Into Clinical & AI Intelligence

I'm an AI/ML Engineer and Bioinformatics Ph.D. with a career spanning academia, national research labs, and industry — architecting systems that translate messy, high-dimensional biological data into reliable, production-grade intelligence.

My experience includes building an enterprise-scale molecular recommendation platform — multi-omics ingestion pipelines, longitudinal predictive models, and enterprise knowledge graphs with hybrid agentic reasoning for auditable clinical insights.

Before that, I spent years as a postdoctoral researcher at the University of California studying HIV host-pathogen interactions through genomics and transcriptomics, and taught as an Assistant Professor, applying machine learning to healthcare prediction and molecular evolution.

0+ Years of Research & Engineering
0 Organizations Worked With
0+ Courses & Certifications
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  • NameAshok Kumar Dwivedi
  • RoleAI/ML Engineer
  • Emaildwivedi.ashok@gmail.com
  • Phone+91 94254 94018
  • LocationRemote, India
  • FocusAI, Knowledge Graphs, Bioinformatics
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02 — Experience

Career Timeline

April 2025 – Current

AI/ML Engineer

Nutricheck (France) · Remote, India

  • Architected an enterprise-scale biological digital twin platform unifying multi-omics ingestion & modeling frameworks.
  • Formulated dynamic models capturing non-linear biochemical network behaviors for physiological drift forecasting.
  • Designed data harmonization & calibration architectures for cohort-wide clinical comparability.
  • Scaled biomedical knowledge graphs with hybrid agentic reasoning for auditable, multi-hop causal inference.
  • Resolved systemic scale-invariance defects in scoring systems achieving zero-regression production stability.
  • Engineered continuous confidence-scoring frameworks from information retrieval theory for evidence weighting.
  • Directed schema consistency & integrity audits across core knowledge bases.
2020 – 2023

Postdoctoral Scholar

University of California · San Francisco, CA, USA

  • Led interdisciplinary research integrating high-dimensional human genetic data to study HIV host-pathogen interactions.
  • Applied ML & statistical modeling to transcriptomic signatures identifying host genes influencing HIV reservoir dynamics.
  • Characterized immune/inflammatory pathways associated with HIV persistence using RNA-seq & feature selection.
  • Integrated FDG-PET/CT imaging with transcriptomics to explore HIV, cardiovascular disease & chronic inflammation links.
  • Contributed to a seminal PLOS Pathogens study linking tumor suppressor & immune pathways to HIV reservoir size.
2019 – 2020

Postdoctoral Research Associate

North Carolina A&T State University · Greensboro, NC, USA

  • Coordinated cross-functional teams under the BEACHES mission evaluating health risks of oil spill chemicals (OSCs).
  • Developed models assessing children's exposure to OSCs based on beach physical characteristics.
  • Analyzed video-based observational data using Python, SAS & R for statistical testing.
  • Built algorithms predicting time- and location-specific OSC concentrations using historical spill data.
  • Presented findings at the Gulf of Mexico Oil Spill & Ecosystem Science Conference 2020, Tampa, FL.
2016 – 2019

Assistant Professor

Maulana Azad National Institute of Technology · Bhopal, India

  • Applied ANN, Random Forest, KNN & hybrid models for healthcare prediction (heart disease, diabetes).
  • Developed computational methods analyzing horizontal gene transfer & recombination in HIV genomes.
  • Published in Neural Computing and Applications, Current Science & Proceedings of the Indian Academy of Sciences.
  • Taught Distributed Databases (DDBMS), Machine Learning, Data Structures & Algorithm Design.
Jan 2016 – Feb 2016

Postdoctoral Scholar

University of California · Davis, CA, USA

  • Hands-on training designing & deploying scalable bioinformatics NGS pipelines.
  • Applied ML models & statistical methods to large-scale multi-omics datasets.

03 — Skills

Tools & Technologies

Circuit board with an AI brain

Engineering intelligence at the intersection of biology & machine learning

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Programming Languages

C/C++PythonRJava Bash/ShellBioconductorBiopython BioJavaCypherFastAPI
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Libraries & Frameworks

TensorFlowPyTorchBioconductor HuggingFace TransformersApache Spark DeepChemScikit-learnPydantic
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Tools & Platforms

GitVS CodePyCharmDocker KubernetesGATKSAMtoolsBWA STARHISAT2SeuratedgeR DESeq2LimmaSTRINGCytoscape
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Databases & Cloud

SQLMySQLMongoDBCassandra Apache HadoopElasticsearchDatabricks AWS S3EC2Vertex AINeo4j

Core Competency Levels

Machine Learning / AI95%
Bioinformatics / Computational Biology97%
Knowledge Graphs (Neo4j)90%
Python / FastAPI93%
Cloud & MLOps85%

04 — Education

Academic Background

2009 – 2015

Ph.D. in Bioinformatics

Maulana Azad National Institute of Technology, Bhopal, India

CGPA: 8.0
2004 – 2006

M.Tech in Bioinformatics

ABV — Indian Institute of Information Technology & Management, Gwalior, India

CGPA: 7.5
1998 – 2003

B.E. in Computer Science & Engineering

Rajiv Gandhi Technical University, Bhopal, India

Percentage: 67%

Honors & Awards

  • Silver medal, National Talent Search Contest — National Institute of General Knowledge Learning, New Delhi
  • National Scholarship Scheme, Ministry of Human Resource Development, Government of India
  • Postdoctoral Research Fellowship, University of California, Davis, CA, USA — 2016
  • Postdoctoral Research Fellowship, North Carolina A&T State University, Greensboro, NC, USA — 2019
  • Postdoctoral Research Fellowship, University of California, Davis, CA, USA — 2020
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05 — Publications

Research & Citations

Peer-reviewed work spanning machine learning for healthcare, HIV genomics, and environmental exposure science — indexed on Google Scholar.

0 Total Citations
0 Citations Since 2021
0 h-index
0 i10-index

Metrics from Google Scholar, last updated September 2026.

View Google Scholar Profile

06 — Certifications

Continuous Learning

40+ certifications across Google, Microsoft, Neo4j & CodeSignal in AI, cloud, and data engineering.

07 — Contact

Let's Work Together

Have a project in AI, bioinformatics, or knowledge graphs? Let's talk.

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Location Remote, India