Ashok Kumar Dwivedi | AI/ML Engineer, Bioinformatics & Biological Digital Twin

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

NameAshok Kumar Dwivedi
RoleAI/ML Engineer
FocusBiological digital twin, nutrition, knowledge graphs

Get In Touch

Focus — Nutricheck & Digital Twin

Biological Digital Twin, Precision Nutrition & Nutricheck

Ashok Dwivedi builds AI that turns molecular data into a living biological twin. That work now powers Nutricheck (nutricheck.eu), a France-based preventive-health platform for personalized nutrition, metabolism, and organ-level biology.

Biological digital twin

Enterprise-scale digital twin of human physiology: multi-omics ingestion, biochemical-network modeling, and forecasting of physiological drift — a true biological twin rather than a static lab report.

Precision nutrition

Nutrition and lifestyle recommendations grounded in blood biomarkers, third-party labs, and wearable signals. Nutricheck models how food and metabolism interact so guidance is personal, not generic diet advice.

Knowledge graphs & clinical AI

Biomedical knowledge graphs with hybrid agentic reasoning for auditable, multi-hop inference — connecting nutrition, omics, and clinical evidence in production systems at Nutricheck.

02 — Experience

Career Timeline

April 2025 – Current

AI/ML Engineer — Biological Digital Twin

Nutricheck (France) · nutricheck.eu · Remote

Architected Nutricheck’s enterprise-scale biological digital twin (biological twin) platform unifying multi-omics ingestion & modeling for precision nutrition.
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

💻

Programming Languages

C/C++PythonRJava Bash/ShellBioconductorBiopython BioJavaCypherFastAPI

🧠

Libraries & Frameworks

TensorFlowPyTorchBioconductor HuggingFace TransformersApache Spark DeepChemScikit-learnPydantic

🛠️

Tools & Platforms

GitVS CodePyCharmDocker KubernetesGATKSAMtoolsBWA STARHISAT2SeuratedgeR DESeq2LimmaSTRINGCytoscape

🗄️

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

05 — Publications

Research & Citations

Peer-reviewed papers by Ashok Kumar Dwivedi 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.

Performance evaluation of different machine learning techniques for prediction of heart disease — A K Dwivedi, Neural Computing and Applications, 2018

Artificial neural network model for effective cancer classification using microarray gene expression data — A K Dwivedi, 2018

Analysis of computational intelligence techniques for diabetes mellitus prediction — A K Dwivedi, 2018

A cohort-based study of host gene expression associated with the HIV reservoir size — A K Dwivedi et al., PLoS Pathogens, 2023

Comparative study of machine learning techniques for genome scale discrimination of recombinant HIV-1 strains — A K Dwivedi & U Chouhan, 2016

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, biological digital twins, precision nutrition, or knowledge graphs? Connect with Ashok Dwivedi on LinkedIn, GitHub, or Google Scholar.