NVIDIA Inception MemberSMCS-Psi's 3, 6, 9 & 12 month Dissertation Programme, guided by industry-leading mentors, for students in Bioinformatics, Biotechnology, Biochemistry, Microbiology, Life Sciences, Computational Biology, Data Science and related fields.
All programs include mentor guidance, a project topic and a completion certificate. A longer program means a deeper project.
A featured example: an integrated computational strategy for designing antibacterial agents against Ralstonia solanacearum, moving from compound datasets through ML screening, docking, molecular dynamics and quantum chemistry to a validated candidate.
Predictive modelling, feature engineering and candidate prioritisation.
Cheminformatics, virtual screening, docking and molecular modelling.
Protein structures, molecular interactions and MD simulations.
QSAR, ADMET prediction, multi-omics integration and quantum chemistry.
Featured work originates from peer-reviewed methodologies and bioRxiv preprints; computational findings require experimental validation.
Each pathway follows a structured, month-by-month plan. The 9 and 12 month tracks begin with a 3-month coursework foundation before research execution.
Tell us your degree and university requirement. We will suggest the right program.
Choose a targeted research direction across AI, drug discovery, genomics, microbiome and therapeutic design.
Sequence mining, structural modeling and AI-based discovery of novel enzymes for plastic degradation.
Computational identification, active site characterization and functional profiling of PBAT-degrading enzymes.
AI-assisted virtual screening, QSAR modeling and candidate identification for Alzheimer's-related targets.
Computational screening, binding kinetics and prioritization of novel compounds against Dengue viral targets.
AI-driven scaffold generation, chemical space exploration, docking and evaluation of antibacterial candidates.
Systems biology and network centrality analysis to identify driver genes in Cancer, Alzheimer's or Dengue.
Developing machine learning tools to predict CRISPR-Cas9 on-target efficiency and off-target activity.
AI-based sequence design, chemical modification profiling and prioritization of therapeutic ASOs.
Computational analysis, quality control and cross-platform integration of genomic and transcriptomic datasets.
AI/ML predictive modeling, docking and structural bioinformatics approaches for oncology target screening.
Chromatin interaction patterns, Hi-C matrix analysis, TAD identification and regulatory peak profiling.
Taxonomic profiling, alpha/beta diversity and functional pathways in 16S rRNA and shotgun metagenomic data.
All projects are executed using high-performance computational tools and industry-standard workflows, with direct guidance from domain experts, regular progress evaluations, and support for academic writing, thesis generation and research publication.
Integrated into the 9-month and 12-month pathways, before research execution begins.
| Domain | Tools, frameworks & languages |
|---|---|
| Data Science & Coding | Python, R, Linux/Bash, Pandas, NumPy, Scikit-Learn, PyTorch, SQL |
| Genomics & Omics | RNA-Seq, WGS/WES, Hi-C, ChIP-Seq, ATAC-Seq, 16S rRNA, Metagenomics |
| Drug Discovery | RDKit, AutoDock Vina, GROMACS, ESMFold / AlphaFold, QSAR Modeling |
| Research Skills | Data Visualization, Experimental Design, Scientific Writing, Reproducibility |
A hierarchically clustered gene-expression heatmap from an RNA-Seq analysis, the kind of figure you will learn to generate and interpret.
Hierarchically clustered gene-expression heatmap: treatment vs. control samples.
Every project follows a real analysis pipeline, the same way it is done in research labs and industry.
Tools: BLAST, PyMOL, GROMACS, R, Python
Tools: Python, TensorFlow, Keras
From your first message to a finished dissertation.
Quick answers before you apply.
Yes. SMCS-Psi offers dissertation programs for students in Bioinformatics and in Data Science, including machine learning and deep learning projects.
You get end-to-end guidance: project selection, data analysis, result interpretation and report writing support, using tools such as BLAST, PyMOL and GROMACS for bioinformatics.
Start with your university requirement. Shorter programs suit a focused project, and longer programs allow deeper analysis and manuscript-level work. If you are unsure, select Not sure yet in the form and our team will guide you.
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