Teaching

1. Computational Biology Summer School at NCBS Bangalore (5-10 July): Conducted two sessions covering the fundamentals of protein folding and multiscale simulation approaches. The sessions included a hands-on simulation of a one-dimensional particle in a double-well potential using the velocity Verlet algorithm, followed by an introduction to enhanced sampling techniques.

2. 13th Undergraduate Lecture Series 2026 at NCBS Bangalore (Beyond Structure: The Dynamic Life of Proteins)

3. Pint of Science Bangalore 2026 (Dancing Proteins: How Tiny Moves Run Our Cells)

4. Teaching Assistantship for Chemical Reaction Engineering and molecular dynamics simulations subjects at IISc Bangalore 

5. Organized a National Level 5th biomembranes symposium held at IISc Bangalore 2022

6. Mass Transfer Laboratory Teaching Assistantship at IIT Roorkee 

I am working on designing the following tutorials and teaching materials:

1. A step-by-step guide to membrane protein simulations using both all-atom and coarse-grained force fields

2. Python for beginners, including the underlying mathematical foundations

3. Classical optimization methods and machine learning techniques

4. Classical and statistical thermodynamics

Undergraduate

1. Chemical Engineering Thermodynamics by J. M. Smith and others

2. Chemical Reaction Engineering by Octave Levenspiel

3. Numerical Methods in Engineering and Science by B. S. Grewal

4. An Introduction to Statistical Learning with Applications in Python or R by Gareth M. James and others

Postgraduate

1. An Introduction to Statistical Thermodynamics by Terrell L. Hill

2. Statistical Mechanics by Donald A. McQuarrie

3. Understanding Molecular Simulation from Algorithms to Applications by Berend Smit and Daan Frenkel

4. Intermolecular and surface forces by Jacob N. Israelachvili

5. Handbook of Stochastic Methods by C.W. Gardiner 

6. Stochastic Processes in Physics and Chemistry by NG Van Kampen (highly advanced)

7. Elements of Nonequilibrium Statistical Mechanics by V. Balakrishnan

8. Introduction to Statistical Machine Learning by Masashi Sugiyama

Writing 

1. English Grammar & Composition by WREN & MARTIN

2. The Elements of Style by E. B. White and William Strunk Jr.

3. Style: The Basics of Clarity and Grace by Joseph Bizup and Joseph M. Williams

4. The Scientist’s Guide to Writing: How to Write More Easily and Effectively Throughout Your Scientific Career by  Stephen B. Heard

5. Stylish Resources for Stylish Writers Website by Helen Sword

1. Gromacs tutorials by Justin A. Lemkul --> Must for the beginners 

2. WHAM code by Alan Grossfield --> They have implemented 2D WHAM and bootstraping analysis

3. OpenMM tutorials

4. OpenSMOG tutorial

5. Submit Python code to generate various CG models 

6. Multi-eGO model development

7. Charmm-GUI lectures 

8. Martini FF tutorials

9. AlphaFold coursework