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Dr. Sumeet Mankar

Research Scholar & Technology Innovator

Howdy, Welcome to My GitHub! 🤝 🤝 🤝

I am a Research Scientist at Danforth Plant Science Center in Dr. Christopher Topp's Root Genetics lab. My research focuses on developing genomics and data analysis pipelines for crops like weedy rice, corn, sorghum, and pennycress.
With a Ph.D. in Plant Breeding and Genetics from Texas A&M University, I bring expertise in statistical data analysis, molecular biotechnology, command-line interface (CLI) tools, and population genetics. My background includes an impressive track record in the biotechnology industry, where I have applied computational and experimental approaches to solve key challenges in plant science.
I am actively seeking collaborations in Plant Breeding, Genetics, Bioinformatics, and Molecular Biology. If you're interested in working together or discussing exciting research opportunities, feel free to connect and collaborate! 🚀
📬 Let's chat!

4+ Years Research
10+ Publications
8+ Projects
View Research Get In Touch

About Me

Education

  • Ph.D. in Plant Breeding - Focus on Stress Biology
  • M.Phil in Biological Sciences
  • M.Sc in Biotechnology
  • B.Tech in Agricultural Biotechnology
  • Specialized in Genomics, Bioinformatics, Data Science
    • Phenomics

Research Focus

  • Plant Breeding and Genetics
  • Comparative Genomics
  • Computational Biology
  • Bioinformatics
  • Data Mining and Analytics
  • Data Science and Cloud Computing

Achievements

  • Published in High-impact Journals
  • Active reviewer for Peer-Reviewed Journals
  • Presented research at Multiple International Conferences
  • Award recipient for Academic Excellence
  • Active contributor to Open-source Projects

Personal Interests

  • Technology Innovation and Emerging Trends
  • Research Methodology and Scientific Writing
  • Teaching and Knowledge Sharing
  • Photography and Creative Arts
  • Reading Scientific Literature
  • Community Outreach and Mentoring

Plant Breeding

GWAS QTL Mapping Genomic Predictions Breeding Simulations UAV Imaging PlantCV

Programming & Tools

Python R Bash Linux AWS HPRC

Programming & Tools

Python R Bash Linux AWS HPRC

Bioinformatics

Whole-Genome Sequencing RNA-seq Pangenomics Genome Assembly Variant Calling Transcriptomics Single-Cell Sequencing

Tools & Platforms

Git Docker AWS Google Cloud LaTeX SQL

Curriculum Vitae

Download/View My CV (PDF)

Research & Projects & Presentations/Conferences & Code

Deep Learning for Medical Image Analysis

Advanced deep learning models for automated medical image diagnosis and analysis. Developed CNN architectures for improved accuracy in medical imaging applications.

Deep Learning Computer Vision Medical AI CNN
Paper Code

Natural Language Processing for Sentiment Analysis

Comprehensive study on sentiment analysis using transformer models and attention mechanisms. Achieved state-of-the-art results on multiple benchmark datasets.

NLP Transformers BERT Sentiment Analysis
Paper Code

IoT-based Smart Agriculture System

Intelligent agriculture monitoring system using IoT sensors and machine learning for crop prediction and optimization of farming practices.

IoT Machine Learning Agriculture Sensors
Demo Code

Big Data Analytics for Social Media

Large-scale data processing and analytics framework for social media data mining and trend analysis using distributed computing technologies.

Big Data Spark Social Media Analytics
Demo Code

Recent Publications

CRISPR/Cas9 multiplex genome editing to enhance grain lysine concentration in a US rice cultivar
Sumeet Mankar, Co-Author Name
Current Plant Biology
2025
Genome‐wide association study for traits related to cold tolerance and recovery during seedling stage in rice
Sumeet Mankar, Research Team
Crop Science
2025
Microbes Enhance Climate-Ready Crops for Sustainable Agriculture
Sumeet Mankar, Collaborators
Rhizospheric Interactions for Abiotic Stress Mitigation; ISBN: 978-1-0364-1512-9; Cambridge Scholars Publishing
2024
Genome-wide consistent molecular markers associated with phenology, plant production and root traits in diverse rice (Oryza sativa L.) accessions under drought in rainfed target populations of the environment
Sumeet Mankar, Co-researchers
Current Science
2018
Environmental response and genomic regions correlated with rice root growth and yield under drought in the OryzaSNP panel across multiple study systems
Sumeet Mankar, Co-researchers
PLoS One
2015
In Silico analysis of a consensus QTL for drought resistance in rice
Sumeet Mankar, Co-researchers
Online J Bioinformatics
2012
Mapping QTLs for Plant Phenology and Production Traits Using Indica Rice (Oryza sativa L.) Lines Adapted to Rainfed Environment
Sumeet Mankar, Co-researchers
Molecular biotechnology
2012
Evaluation of rice (Oryza sativa L.) near iso-genic lines with root QTLs for plant production and root traits in rainfed target populations of environment
Sumeet Mankar, Co-researchers
Field Crops Research
2012

Get In Touch

Let's Collaborate

I'm always interested in discussing research opportunities, collaborations, and innovative projects. Whether you're interested in research partnerships, academic discussions or technology consulting, feel free to reach out!

Danforth Plant Science Center
Saint Louis, MO, USA
Available for research discussions