Aditya Naman Soni
Explorer of Computational Biology
Bioinformatician & Machine Learning Researcher
Leveraging computational tools and machine learning to advance healthcare accessibility and early disease prediction
About Me
From the marble city of Jabalpur, Madhya Pradesh, my journey into computational biology began with childhood experiences in healthcare settings. As the eldest son in a nuclear family, with my mother working as an Auxiliary Nurse Midwife and my father serving as a lawyer in civil court, I was exposed to both the healing arts and the pursuit of justice from an early age.
My fascination with medical machines like ECG, X-ray, and sphygmomanometers during hospital visits sparked my interest in the intersection of technology and healthcare. This curiosity evolved into a passion for using computational tools to improve healthcare accessibility and contribute to early disease prediction.
Guided by the principle of "Vasudhaiva Kutumbakam" (the world is one family), I believe in harmonious relationships, respect for nature, and working for the betterment of society. My research focuses on modelling epigenetic drift to understand histone modification dynamics during aging, combining machine learning with biological insights.
Beyond research, I maintain strong personal values including regular donations to orphanages and schools on my birthdays, reflecting my commitment to giving back to society and following my mother's example of selfless service.
Education
Explorer of Computational Biology
Self-initated
Research Focus: Modelling epigenetic drift to understand histone modification dynamics during ageing
Master of Science in Biotechnology
Bharati Vidyapeeth Deemed University (BVDU)
Pune
Top 8, First division, CGPA 9.19/10, A+ grade
Thesis: Genome-wide identification and characterization of NLR genes in Panicum Miliaceum
Bachelor of Science Honors in Biotechnology
Institute for Excellence in Higher Education
Bhopal
Top 10, Marks obtained 80%
Professional Experience
Project Associate
CSIR-Centre for Cellular & Molecular Biology
Hyderabad
Project: Investigate transcriptional changes in children born to micronutrient-intervened mothers in MMNP cohort
- Successfully identified differentially expressed genes and enriched biological processes using DESeq2 and GSEA tools
- Investigated associations among genotype, gene expression, and phenotype using quantitative traits analysis
- Performed SNP-phenotype and SNP-gene expression association tests using MatrixQTL and PLINK tools
- Created automated scripts to process and analyze RNA-seq and genomic data of 171 samples
- Contributed to research article manuscript preparation
Project Trainee (Masters Thesis)
Centre for DNA Fingerprinting and Diagnosis
Hyderabad
Project: Genome-wide identification and characterization of NLR protein in Panicum Miliaceum
- Conducted comprehensive sequence similarity analysis to identify 356 NBS-LRR encoding genes
- Performed domain classification and motif analysis using NCBI-CDD and MEME tools
- Novel identification of variability in RNBS-B and Kinase motifs
- Created local BLAST nucleotide and protein database accessible to the institute
- Composed automated bash scripts for NGS data processing
Project Intern
Interactive Research School for Health Affairs, BVDU
Pune
Project: Investigating the Effect of Subacute Toxicity of Cisplatin Drug in C57BL6 Mice
- Conducted 28-day subacute oral toxicity study following OECD guidelines
- Evaluated effects across six groups with varying doses and control conditions
- Monitored weekly body weights, food consumption, and urine analysis
- Performed biochemical and histopathological assessments
Featured Projects
EpiAgeML: Predicting Age from Histone Marks View project details
Analyzing 1796 samples from ENCODE dataset to observe changes in histone patterns across different age groups using machine learning approaches.
Modeling Tandem Repeat Mutation
Developed simulation-based model to study tandem repeat mutations using HMM and Viterbi algorithm for sequence reconstruction with accuracy evaluation.
Molecular Docking Study
Putative ligand study for inhibition of GbpC formation by Streptococcus mutans. Identified sissostrin as promising inhibitor with binding affinity of -9.1 kcal/mol.
Technical Skills
Programming Languages
Machine Learning
Bioinformatics Tools
Data Analysis & Visualization
Databases & Tools
Publications
Molecular Docking and Pharmacodynamic Study of Potential Inhibitors of Streptococcus mutans Biofilm
Achievements & Awards
Research Fellowship (DBT-BET)
Qualified DBT-BET exam among 11,093 candidates, Score: 195/300
₹5,162.34 p.a. HRA for 5 years (2023-2029)
Department of Biotechnology, Govt. of India and UNESCO
GATE Qualified
Life Science, Percentile: 97.03, All India Rank: 710 out of 23,973 students
Government of India (2021)
IIT-JAM Qualified
Biotechnology, All India Rank: 500 out of 8,806 students
Indian Institute of Technology (2021)
1st Rank Poster Presentation
Hypothesize LFA-based Kit for Early Detection of PCOS among 30 participants
BVDU (2022)
Medhavi Scholarship
100% scholarship for undergraduate degree + ₹25,000 prize money for securing >85%
State Government (2018)
IELTS Academic
Overall Band 7.0 (CEFR C1)
2025