01Artificial Intelligence & Machine Learning
- Support Vector Machines (SVM)
- Decision Trees
- K-Nearest Neighbors (KNN)
- Bayesian models
- K-Means clustering
- Synthetic accessibility and retrosynthesis models
- Data analytics
Founder · Scientific Leadership
Dr. Sambhaji Balaso Thakar
Senior Bioinformatician · Data Scientist
MSc BioinformaticsPh.D. BiotechnologyPost-Doctoral Fellow, CAU, Seoul, South KoreaPost-Doctoral Fellow, Anhui Agricultural University (AAU), Hefei, China
FounderAditya BioNova Analytics
Post-Doctoral Research
Chung-Ang University (CAU), Seoul, South Korea · Anhui Agricultural University (AAU), Hefei, China
Professional Roles
Senior Bioinformatician · Data Scientist
Education
MSc Bioinformatics, S.R.T.M. University, Nanded · PhD Biotechnology (Structural Bioinformatics), Shivaji University, Kolhapur
Profile
Executive Summary
Dr. Sambhaji Balaso Thakar is a PhD-qualified Bioinformatician and Data Scientist with international postdoctoral research experience at Chung-Ang University (CAU), Seoul, South Korea and Anhui Agricultural University (AAU), Hefei, China.
His expertise spans artificial intelligence, machine learning and large-scale biological data analytics, with a focus on biological database development, next-generation sequencing (NGS), structural bioinformatics, systems biology and retrosynthesis models.
His peer-reviewed research contributions span cancer-therapy reviews, transcriptomics, microbiome analysis and biological databases.
He completed postdoctoral research at Chung-Ang University in Seoul, South Korea (2020–2021), and Anhui Agricultural University in Hefei, China (2018–2020).
His experience also includes bioinformatics teaching, scientific data curation and research collaborations.
At Aditya BioNova Analytics, he leads scientific project scoping and review, with an emphasis on transparent methods and reproducible analysis.
Skills
Core Competencies
02Bioinformatics & Computational Biology
- Next-generation sequencing (NGS) analysis
- Sequence and structural analysis
- Phylogenetic analysis
- Biological database development
- Scientific data curation
03Bioinformatics Tools & Omics
- Multi-omics (Genomics, Transcriptomics, Proteomics, Metabolomics)
- Sequence alignment (BLAST, Bowtie2)
- Variant calling (GATK)
- Structural biology (AlphaFold, PyMOL)
- Nextflow
- Snakemake
04Programming & Core Languages
- Python
- R
- SQL
- C++
- Java
- Bash / Linux
- Pandas
- NumPy
05Data Science & Machine Learning
- Predictive modeling
- Feature engineering
- Statistical modeling
- Exploratory data analysis (EDA)
- Scikit-learn
- XGBoost
- Dimensionality reduction (PCA, t-SNE, UMAP)
06Deep Learning & NLP
- TensorFlow
- PyTorch
- Neural networks
- Natural Language Processing (NLP)
07Generative AI & LLMs
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- LangChain
- LlamaIndex
- Prompt engineering
- Fine-tuning (LoRA, QLoRA)
- BioBERT
- DNABERT
- OpenAI GPT-4
- Google Gemini
- Claude
- Llama 3
- Hugging Face Transformers
08Vector Databases, MLOps & Cloud
- Pinecone
- ChromaDB
- Milvus
- Docker
- Kubernetes
- AWS (Bedrock / Lambda)
- GCP
- Git
- High-Performance Computing (HPC)
09Data Visualization
- Power BI
- Tableau
- Matplotlib
Portfolio
Key Database & Software Projects Developed
Mangrove Infoline Database
A specialized web resource for mangrove plants and protein sequence information.
www.manmedinfoline.in
FERN Ethnomedicinal Plant Database
A platform organizing fern ethnomedicinal plant knowledge to support computational drug-discovery research.
www.ferndatabase.in
LegumeDB
An ethnomedicinal database and comparative evolutionary resource for legume matK proteins.
www.legumedatabase.co.in
MPRDB
Mangrove Plant Resource Database for sequence and structural evaluation.
Listed domains are project references; current online availability may vary.
Research
Peer-Reviewed Publications
- 2021
Recent advances in gas-mediated cancer therapy: a review
Thakar, S. B., Ghorpade, P. N., Shaker, B., Lee, J., & Na, D.
Environmental Chemistry Letters, 19, 2981–2993
- 2020
Full-length transcriptome sequencing provides insights into the evolution of apocarotenoid biosynthesis in Crocus sativus
Yue, J., Wang, R., Ma, X., Liu, J., Lu, X., Thakar, S. B., An, N., Liu, J., Xia, E., & Liu, Y.
Computational and Structural Biotechnology Journal, 18, 774–783
- 2020
Bioinformatics Analysis of The Rhizosphere Microbiota of Dangshan Su Pear in Different Soil Types
Ma, X., Thakar, S. B., Zhang, H., Yu, Z., Meng, L., & Yue, J.
Current Bioinformatics, 15(5)
- 2017
LegumeDB: Development of Legume Medicinal Plant Database and comparative molecular evolutionary analysis of matK proteins of legumes and mangroves plants
Thakar, S. B., & Sonawane, K. D.
Current Nutrition & Food Science
- 2016
Phylogenetic, Sequence Analysis and Structural Studies of Maturase K Proteins from Mangroves
Thakar, S., Dhanavade, M., & Sonawane, K.
Current Chemical Biology, 10(2), 135–141
- 2015
FERN Ethnomedicinal Plant Database: Exploring fern ethnomedicinal plants knowledge for computational drug discovery
Thakar, S., Ghorpade, P., Kale, M., & Sonawane, K.
Current Computer-Aided Drug Design, 11(3), 266–271
- 2013
Mangrove Infoline Database: A database of mangrove plants and protein sequence information
Thakar, S. B., & Sonawane, K. D.
Current Bioinformatics, 8, 524–529
Contact
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Share your research objective and the data you have.
- Define the question — objective, study design, data requirements and scope.
- Review the data — quality, permissions, missing values and potential sources of bias.
- Explain & deliver — interpretable figures, reports and agreed reproducible materials.
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