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Ajay Khanna

๐ŸŽ“ Ph.D. Candidate | ๐Ÿงช Computational Chemist

๐Ÿ“ฉ Email | ๐Ÿ“ LinkedIn | ๐ŸŒ Portfolio |

๐ŸŒŸ About Me

๐Ÿ‘‹ Hi, there welcome to my GitHub! I'm a computational chemistry wizard ๐Ÿง™โ€โ™‚๏ธ obsessed with understanding molecules through data ๐Ÿ“Š! I perform quantum calculations ๐Ÿคฏ to see electrons dance, run molecular simulations ๐Ÿ”ฌ to watch molecules move, and build ML models ๐Ÿ“ˆ to predict chemical properties. The computational pipelines I develop screens thousands of compounds ๐ŸŽ›๏ธ and crunch big chemical data ๐Ÿ“Œ to discover new insights. I develop tools in Python and C++ ๐Ÿ› ๏ธ to analyze all the things about molecules! My chemistry spells and algorithms transform raw data into molecular insights. Let's use the power of computation to advance medicines, materials and more! ๐Ÿš€

๐Ÿ’ผ Repository ๐Ÿ“ƒ Brief Summary ๐Ÿ”ง Skills
Molecular Dynamics (MD) ๐Ÿš€ Dive deep into the world of Molecular Dynamics with everything MD. Classical MD, Enhanced sampling MD, Ab Initio MD
Quantum Mechanics (QM) :electron: Explore the intricacies of Quantum Mechanics with methods like HF, DFT, and applications in spectroscopy. HF, DFT, Torsional Analysis, Geometry Optimization, Spectroscopy: IR and UV-Visible, Solvent Chemistry, Charge Analysis
Drug Discovery ๐Ÿ’Š Delve into the innovative techniques behind drug discovery, from ligand docking to structure-based design. Free Energy, Thermodynamics Integration, Ligand Docking, Similarity Search: KRAS-G12C, Structure-based Drug Design
Cheminformatics ๐Ÿงฌ Harness the power of tools like Rdkit and OEChem in the fascinating domain of Chemoinformatics. Rdkit, CppTraj, OEChem, Open Babel
Machine Learning ๐Ÿค– Embark on a machine learning journey tailored for chemistry with models like decision trees and GNNs. Linear regression, Decision Trees, Random Forest, k-mean clustering GNNs
Programming ๐Ÿ’ป Computer programs and scripting tools tailored for scientific computations Python, C++, Bash, Sed, Awk, and CUDA
Data Analysis ๐Ÿ“Š Dive into data analytics for high throughput chemistry, mastering tools from Python datastack, MDTraj, Matplotlib, and Plotly for in-depth insights. NumPy, Pandas, Scikit-learn, SciPy, Plotly, Matplotlib, MDTraj, Excel, and Vortex
MD & QM Software ๐Ÿงฎ Get hands-on with popular software in molecular dynamics and quantum mechanics for high throughput research. Amber, OpenMM, Gromacs, VMD, MOE, TeraChem, Gaussian, Qubekit, Psi4
OS and HPCs ๐Ÿ–ฅ๏ธ Master operating systems and high-performance computing tools like Docker and Google Colab for efficient workflows. Linux, Windows, and Mac-OS, Docker, Singularity, Google Colab, and HPC

๐ŸŽ“ Education

  • Ph.D. Candidate in Computational Chemistry, University of California, Merced
  • M.Sc. Chemistry and Chemical Biology, University of California, Merced
  • M.Sc. Chemistry, National Institute of Technology (NIT), Rourkela, India
  • B.Sc. Chemistry (Hons.), University of Delhi, New Delhi, India
  • Diploma in Full Stack Web Design and Development, eZone Academy, New Delhi, India

๐Ÿ† Certifications

  • Introduction to Cheminformatics and Medicinal Chemistry, Udemy
  • Data Science with Python Simplilearn
  • Fundamental of Accelerated Computing with CUDA Python NVIDIA
  • Information Security & Ethical Hacking Appin Technology Lab

๐Ÿ’ผ Work Experience

๐Ÿข Company & Role ๐Ÿ“ Location & Date ๐ŸŒ Situation ๐ŸŽฏ Task ๐Ÿ› ๏ธ Action ๐ŸŒŸ Result
Frontier Medicines
Intern, CADD
South San Francisco, CA, USA
(May 2023 โ€“ Aug 2023)
Needed a streamlined process for SMILES to desolvation energy and ligand-binding free energy calculations for BTK inhibitors. Develop Python programs and pipelines. Created Python programs using AFEP/TI techniques and OpenMM; learned ligand-based docking in MOE. Streamlined ligand-binding free energy calculations.
UC Merced
Graduate Student Researcher
Merced, CA, USA
(Aug.2018 - Spring.2024)
Gap in understanding environmental effects on molecular properties. Develop computational methods to model experimental spectra. Developed methods using AIMD, Collaborated on the Polariton project, performed MD and QM simulations and much more, comming soon Full-stack UV-Visible Spectroscopy, Code development, hybrid QM/MM sampling methods, Excitation Energy Transfer Processes
UC Merced
Teaching Assistant
Merced, CA, USA
(Aug.2018 โ€“ Dec.2022)
First-generation students needed guidance in chemistry courses. Teach and prepare materials. Taught courses and developed worksheet materials. Successfully educated first-generation students over four years.
Indian Institute of Science
Research Intern
Bangalore, India
(Jan.2018 โ€“ July.2018)
Need to reproduce experimental spectra of Alexa Fluor dyes. Reproduce spectra using computational techniques. Used fundamental spectroscopy and Gaussian calculations. Successfully reproduced experimental spectra.
Indian Association for the Cultivation Science
Research Intern
Kolkata, India
(Aug.2017 โ€“ Nov.2017)
Need a method to generate unique metal clusters. Develop computational procedure for 3D DNA origami structures. Used Cadnano and oxDNA. Successfully generated unique DNA origami structures and computational procedure.
National Institute of Technology
Research Assistant
Rourkela, India
(July 2016 โ€“ July.2017)
Proving 18-electron rule's ability for Zintl ions was unproven. Conduct quantum mechanical investigations. Conducted study of Zintl phases. Demonstrated 18-electron rule's ability to design better Zintl ions.

๐Ÿ“š Publications Google Scholar | ResearchGate | ORCID

๐Ÿ“š Title ๐Ÿ“’ Journal ๐Ÿ“† Year ๐Ÿ“ˆ Citations
Ajay Khanna, Christine M. Isborn, Resonance Energy Transfer Processes in Explicit Solvent Environment: Going Beyond Traditional FRET (In Progress) Journal of Physical Chemistry 2024 -
Ajay Khanna, Sapana V. Shedge, Tim J. Zuehlsdorff, and Christine M. Isborn, Calculating Absorption and Fluorescence Spectra for Chromophores in Solution with Ensemble Franck-Condon Methods Journal of Chemical Physics 2024 -
Christopher A. Myers, Shao-Yu Lu, Sapana Shedge, Arthur Pyuskulyan, Katherine Donahoe, Ajay Khanna, Liang Shi, and Christine M. Isborn, Axial H-bonding Solvent Controls Inhomogeneous Spectral Broadening, Peripherial H-bonding Solvent Controls Vibronic Broadening: Cresyl Violet in Methanol The Journal of Physical Chemistry B 2024 -
Chiao-Yu Cheng, Nina Krainova, Alyssa Brigeman, Ajay Khanna, Sapana Shedge, Christine Isborn, Joel Yuen-Zhou, and Noel C. Giebink, Molecular Polariton Electroabsorption Nature Communication 2022 8
Sapana V. Shedge, Tim J. Zuehlsdorff, Ajay Khanna, Stacey Conley, and Christine M. Isborn, Explicit Environmental and Vibronic Effects in Simulations of Linear and Nonlinear Optical Spectroscopy Journal of Chemical Physics 2021 14
Rakesh Parida, G. Naresh Reddy, Ajay Khanna, Gourisankar Roymahapatra and Santanab Giri, Ligand Driven Electron Counting Rule Selection: A Case Study for Ge5R Complex Int. J. Hit. Tranc: Eccn. 2018 1

๐ŸŒ Social Media Presence

Ajay Khanna's Projects

amber-organic-solvent-box icon amber-organic-solvent-box

This repo contains custom made preequilibrated organic solvent boxes and droplets based on Amber software. More information about each organic solvent can be found in their separate directory.

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

black icon black

The uncompromising Python code formatter

cheminformatics icon cheminformatics

A tutorial set for applying cheminformatics in Virtual Screening, Similarity Search, Conformers Generation and Presentation

cuda_with_coffee icon cuda_with_coffee

Cplusplus CUDA Programming Examples This repository contains example programs written in Cplusplus CUDA programming language. The examples demonstrate how to use the language for general purpose programming tasks.

denstq icon denstq

calculate transition charges using spatial densities

drug_discovery icon drug_discovery

Computational Chemistry methods applied to drug discovery processes

excitonic_coupling icon excitonic_coupling

How to Compute Excitonic Coupling Between Molecules Using Various Excitonic Coupling Schemes

excitonichamiltonian icon excitonichamiltonian

The scripts in this repository can be used to generate an excitonic Hamiltonian of a molecular aggregate. The protocol for running this code to generate such a Hamiltonian is described in the paper "Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids" by A.A. Kocherzhenko, S.V. Shedge, P.F. Germaux, M. Heidarian, C.M. Isborn, J. Vis. Exper., 2020, Issue 159, e60598, doi: 10.3791/60598.

hydrogen_bonding_analysis icon hydrogen_bonding_analysis

This is Analysis Hydrogen bonding pattern that includes bond length and bond angle between a dye and solvent.

literaturereviews icon literaturereviews

This repository contains notes on a selection of quantum chemistry (and related theory) literature.

machine_learning_with_chemistry icon machine_learning_with_chemistry

This repository contains tutorials on using machine learning methods to predict chemical properties. These tutorials represents using ML as tool and not core implementation of any ML method. The goal from these tutorials is to see how ML helps in making better predictions while keep the chemical intuition as the base.

manim icon manim

Animation engine for explanatory math videos

molecular_dynamics_101 icon molecular_dynamics_101

Molecular Dynamics 101, this repository contains lessons and things I learned during the course of my PhD. The topics includes fundamental topics to some important algorithms to propagate the systems. This repository will serves as an examples repository for the future MD online courses I'll generate

nglview icon nglview

Jupyter widget to interactively view molecular structures and trajectories

parmed icon parmed

Parameter/topology editor and molecular simulator

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