Vedant Sarode

Developed a biophysics-informed AI tool for predicting stability effects of mutations in membrane proteins. Curated experimental datasets, engineered structural feature matrices, and fine-tuned the ESM2 protein language model.

Studied the immunomodulatory effect of prebiotic and probiotic conditioned media on human macrophages in vitro during the final year of B.Sc.

Completed the course 'Principles and Applications of Quantum Computing'.

Completed the 'Learn SQL' course.

Completed the course 'Designing Quality Ligand Libraries' with a full scholarship.

Grade: 9.31 CGPA

Pursued M.Sc. in Bioinformatics with a CGPA of 9.31.

Completed the workshop on Molecular Docking, Virtual Screening & Computational Biology.

Grade: A

Completed the course 'Advanced Molecular Simulations and Dynamics' with grade A.

Completed the course 'Molecular Simulations for Chemical and Biomolecular Systems (MoSiC-2025)'.

Completed the course 'Computational Drug Discovery: Molecular Docking and MD Simulations'.

Completed the course 'NGS and RNA-Seq for Beginners'.

Completed the course 'Hands-on Introduction to Linux Commands and Shell Scripting'.

Completed the course 'Master Cheminformatics with RDKit Toolkit'.

Grade: 8.35 CGPA

Completed B.Sc. in Biotechnology with a CGPA of 8.35.

Grade: A

Completed the course 'Hands-On Training in Molecular Biology Techniques (Advanced)' with grade A.

Completed the course 'Hands-On Training on Basics of Animal Handling (Mice) & Research'.

Grade: 94.50%

Completed HSC (Science) with 94.50%.

Grade: 95.80%

Completed SSC with 95.80%.