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Ajaykhanna/README.md

Ajay Khanna

๐Ÿงช Computational Chemist (๐ŸŽ“ Ph.D.) | Citations: 24 | RGScore: 48.3

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

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

๐Ÿ’ผ Work Experience

๐Ÿข Company & Role ๐Ÿ“ Location ๐ŸŒ Situation ๐ŸŽฏ Task ๐Ÿ› ๏ธ Action ๐ŸŒŸ Result
Frontier Medicines
Intern, CADD
South San Francisco, CA, USA 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 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 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 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 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 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.

๐ŸŒŸ Featured Publications | Google Scholar | ResearchGate | ORCID

  1. Resonance Energy Transfer Processes in Explicit Solvent Environment: Going Beyond Traditional FRET (In Progress) Ajay Khanna, Christine M. Isborn Peer-reviewed Journal (Comming soon, 2024) JPC

    Exploring advanced FRET processes in complex solvent environments to enhance energy transfer predictions in molecular systems.

  2. Calculating Absorption and Fluorescence Spectra for Chromophores in Solution with Ensemble Franck-Condon Methods Ajay Khanna, Sapana V. Shedge, Tim J. Zuehlsdorff, Christine M. Isborn Journal of Chemical Physics (2024) JCP

    Novel computational approach for accurate prediction of absorption and fluorescence spectra in solution, advancing spectroscopic analysis techniques.

  3. Molecular Polariton Electroabsorption Chiao-Yu Cheng, Nina Krainova, Alyssa Brigeman, Ajay Khanna, Sapana Shedge, Christine Isborn, Joel Yuen-Zhou, Noel C. Giebink Nature Communication (2022) Nature Comm Citations

    Novel study on molecular polariton electroabsorption, opening new avenues in optoelectronics and quantum technology.

  4. Explicit Environmental and Vibronic Effects in Simulations of Linear and Nonlinear Optical Spectroscopy Sapana V. Shedge, Tim J. Zuehlsdorff, Ajay Khanna, Stacey Conley, Christine M. Isborn Journal of Chemical Physics (2021) JCP Citations

    Comprehensive exploration of environmental and vibronic effects in optical spectroscopy simulations, enhancing accuracy in molecular property predictions.

๐ŸŽ“ Education

Degree Institution Year Focus
๐Ÿ”ฌ Ph.D.
Computational Chemistry
University of California, Merced
UCM
2018 - 2024 AIMD, Fluorescence Spectroscopy, AIMD, Quantum Mechanics, High Throughput Screening, Machine Learning, and Resonance Energy Transfer
๐Ÿ”ฌ M.Sc.
Chemistry
National Institute of Technology, Rourkela
NIT
2015 - 2017 Advance Experiemental Chemistry, Computaitonal Chemistry, and Zintl Clusters
๐Ÿ’ป Diploma
Web Design and Development
eZone Academy, New Delhi
eZone
2012-2013 Web Development, UI/UX Design

๐ŸŽ“ Certifications

Certification Issuing Organization Year Skills Acquired
๐Ÿงช Introduction to Cheminformatics and Medicinal Chemistry Udemy Udemy 2023 Cheminformatics, Drug Discovery, QSAR
๐Ÿ“Š Data Science with Python Simplilearn Simplilearn 2022 Python, Data Analysis, Machine Learning
๐Ÿš€ Fundamentals of Accelerated Computing with CUDA Python NVIDIA NVIDIA 2022 CUDA, Parallel Computing, GPU Programming
๐Ÿ”’ Information Security & Ethical Hacking Appin Appin Technology Lab 2011 Cybersecurity, Ethical Hacking, Network Security

Pinned Loading

  1. Quantum_Mechanics_101 Quantum_Mechanics_101 Public

    This repository contains tutorials, python programs to perform various quantum mechanical calculations using TeraChem, Gaussian, Orca, and Psi4.

    Python

  2. Molecular_Dynamics_101 Molecular_Dynamics_101 Public

    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 systeโ€ฆ

    DIGITAL Command Language 1

  3. Machine_Learning_with_Chemistry Machine_Learning_with_Chemistry Public

    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 goโ€ฆ

    Jupyter Notebook 2

  4. Cheminformatics Cheminformatics Public

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

    Jupyter Notebook

  5. cuda_with_coffee cuda_with_coffee Public

    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 prโ€ฆ

    Cuda

  6. PythonProjects PythonProjects Public

    List of useful python scripts created throughout my research journey

    Python