About

Dr. Farha Arshi

Synthetic, Computational & AI-Driven Chemist

Dr. Farha Arshi

Quick Facts

Ph.D. in Chemistry — University of Lucknow
Synthetic & Computational Chemistry
DFT • Computational Materials Design • AI for Molecular Discovery
Python • RDKit • Molecular Modelling
farhaarshi02@gmail.com

Who I Am

I am an inorganic and medicinal chemist at the University of Lucknow, specialising in the design, synthesis, and biological evaluation of ruthenium-based anticancer and antimycobacterial agents. My research sits at the intersection of wet-lab organometallic chemistry and computational drug discovery.

Every complex I synthesise undergoes a parallel computational study: DFT geometry optimisation and HOMO–LUMO analysis reveal the electronic landscape, MEP maps highlight reactive sites, and molecular docking estimates binding affinity inside target proteins. Lab results then validate — or challenge — the predictions.

Beyond the bench, I am developing expertise in Python-based computational chemistry, including RDKit and AI-driven molecular design, with the long-term goal of combining machine learning and density functional theory to accelerate the discovery of advanced materials for sustainable technologies.

10

Ru Complexes

5

Publications

26

Citations

4

H-Index

3

Conferences

5+

Years Research

Academic Profiles

Research Philosophy

How I Aim to Advance Discovery

Four principles that guide the integration of computation, AI, and experiment in my research.

Predictive Materials Discovery

Integrating DFT, cheminformatics, and artificial intelligence to identify high-potential functional materials before laboratory synthesis.

DFTCheminformaticsAI Screening

Computation-Informed Synthesis

Using computational insights to guide synthesis, characterisation, and iterative optimisation of advanced materials.

Molecular ModellingGAUSSIANIterative Design

Structure–Property Intelligence

Connecting electronic structure, molecular descriptors, and experimental data to build predictive models for materials performance.

SAR AnalysisHOMO–LUMODescriptors

Sustainable Materials Innovation

Developing computational strategies that accelerate the discovery of functional materials for energy, environmental sustainability, and critical resource recovery.

Green ChemistryEnergy MaterialsSustainability
Academic Background

Education

2020 – 2026

Ph.D., Chemistry

University of Lucknow

NAAC A++ · Thesis: Synthesis, Characterization and Biological Evaluation of Ruthenium Complexes with Different Amines · Supervisor: Dr. Ashok Kumar Singh

2016 – 2018

M.Sc., Chemistry

University of Lucknow

2013 – 2016

B.Sc., Zoology, Botany & Chemistry

University of Lucknow

2019

Certificate — CADD

CSIR – Central Drug Research Institute

8-week intensive programme in molecular modelling, virtual screening, and molecular docking.

Open To Opportunities

Seeking a Postdoctoral Position

Seeking a postdoctoral position in computational chemistry and advanced materials, where I aim to integrate synthetic chemistry, density functional theory, cheminformatics, and artificial intelligence to develop predictive computational–experimental workflows for the accelerated discovery of next-generation functional materials.