Collaborate with highly experienced research eSupervisors who can provide expert guidance, mentorship, and support to help you successfully navigate and excel throughout your academic journey.
Vidula Pendharkar
Research Consulting
I am a healthcare and clinical research professional with nearly 15 years of experience across clinical research, centralized monitoring, data analytics, medical operations and healthcare consulting. With an Ayurvedic medical background and Master’s in Clinical Research, I have worked with KEM, IQVIA, IKS and Infosys, supporting global pharma clients including Pfizer. I now seek to leverage my clinical and technology experience in senior clinical roles.
Murshida Khatoon
Psychology
tatistics in psychology, with a strong interest in applying rigorous empirical methods to understand human behavior.
With a strong foundation in both psychological theory and quantitative methods, I bring an evidence-based and analytical approach to research projects. I am comfortable working across the research process—from conceptualizing research questions and designing experiments to data analysis, statistical interpretation, and communicating findings clearly.
Vikash Kumar Thakur
Research Data Analysis
Statistician and founder of VAnalyticaa India, helping researchers, scholars, and professionals turn raw data into reliable, decision-ready insights. Using SPSS, R, STATA, Python, and Power BI, I support study design, data cleaning, hypothesis testing, regression, SEM, spatial and predictive modelling, and clear, research-ready reporting. Every project is handled with accuracy, strict confidentiality, and on-time delivery, so your results are easy to trust and act on.
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Kusum Jain
eSupervisor
Medical Mycology, Antifungal Resistance & Fungal Genomics Collaboration
I am a PhD researcher in Zoology with specialization in Medical Mycology, with research experience in antifungal resistance, fungal genomics, molecular epidemiology, fungal pathogenesis, and clinical and environmental surveillance of emerging fungal pathogens. My research primarily focuses on Candida auris and non-albicans Candida species, with particular emphasis on understanding the molecular mechanisms of antifungal resistance, genetic diversity, population structure, virulence-associated traits, and environmental adaptation of clinically important fungal pathogens.
My expertise includes fungal identification and characterization, antifungal susceptibility testing (AFST), molecular biology, whole-genome sequencing (WGS), transcriptomics/RNA-seq, differential gene expression analysis, RT-qPCR, phylogenetics, population genomics, MLST, mutation analysis, sterol profiling, biofilm-associated studies, and genotype–phenotype correlation.
I am interested in collaborating with researchers, PhD scholars, faculty members, clinicians, microbiologists, bioinformaticians, and research groups working in Medical Mycology, Microbiology, Antimicrobial Resistance, Infectious Diseases, Genomics, Bioinformatics, Biotechnology, Molecular Biology, Biomedical Sciences, and Public Health.
I can contribute to collaborative research projects through:
Fungal isolation, identification, and characterization
Antifungal susceptibility testing and resistance profiling
Molecular investigation of antifungal resistance mechanisms
Whole-genome and comparative genomic analysis
Phylogenetic and population genomic analysis
Transcriptomic/RNA-seq data interpretation
Differential gene expression analysis
Mutation and genotype–phenotype analysis
RT-qPCR-based gene expression studies
Analysis of fungal virulence, biofilm, and stress-associated traits
Clinical and environmental fungal epidemiology
Data interpretation, visualization, and scientific writing
I am open to contributing to original research projects, collaborative manuscripts, systematic and narrative reviews, book chapters, and interdisciplinary research proposals.
I am particularly interested in collaborations that integrate clinical, environmental, microbiological, molecular, genomic, and computational approaches to investigate emerging fungal pathogens and antifungal resistance.
If you are working on a project related to fungal pathogens, antifungal resistance, Candida auris, fungal genomics, molecular epidemiology, or medical mycology and are looking for a research collaborator, I would be happy to discuss the project and explore opportunities for meaningful scientific collaboration.
Chandan Rithalia
eSupervisor
Collaboration in Structural Biology, Protein Characterization & Computational Analysis
I have a research background in structural biology, protein biochemistry, and computational structural analysis. My expertise includes protein structure analysis, molecular docking, protein–ligand interaction analysis, sequence- and structure-based phylogenetics, comparative structural analysis, and protein crystallography using the CCP4 suite. I am particularly interested in projects involving protein structure–function relationships, characterisation of hypothetical and uncharacterized proteins, protein evolution, and molecular mechanisms.
I can contribute to research projects through structural visualisation and analysis using PyMOL and UCSF Chimaera, molecular docking using AutoDock Vina, comparative protein structure analysis using AlphaFold and Foldseek, and phylogenetic analysis using MEGA and iTOL. I also have experience in biological data analysis using R and Python. I am especially interested in interdisciplinary collaborations that integrate experimental protein biochemistry with computational structural approaches. I welcome opportunities to contribute to ongoing research projects, collaborative publications, and scientific discussions.
Supriya Maurya
Researcher
Bioinformatics, Cancer Research & Life Science Collaboration
I am a PhD Scholar in Bioinformatics with research experience in computational biology, cancer research, and computational drug discovery. My expertise includes molecular docking, virtual screening, network pharmacology, ADMET profiling, molecular dynamics simulations, protein–ligand interaction analysis, functional enrichment, and biological network analysis. I am open to collaborating with researchers, PhD scholars, faculty members, and research groups from Bioinformatics, Biotechnology, Life Sciences, Biomedical Sciences, Cancer Biology, Computational Biology, Natural Products, Drug Discovery, and related fields. I am interested in contributing to ongoing research projects, computational analyses, research manuscripts, review articles, systematic/narrative reviews, and book chapters. I can contribute through bioinformatics analysis, computational modelling, molecular docking and simulation workflows, network analysis, data interpretation, visualization, literature analysis, and scientific writing. I am particularly interested in interdisciplinary collaborations where computational and bioinformatics approaches can complement experimental or biological research. If you have an ongoing research project, manuscript, review article, or book chapter and are looking for a collaborator with bioinformatics/computational expertise, please feel free to connect with me. I would be happy to discuss the project and explore a meaningful research collaboration.
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What is Research Decode?
Research Decode is a global research collaboration and research freelancing platform that connects researchers, scholars, and domain experts. The platform enables collaboration on projects, exchange of expertise, and access to specialized services such as data analysis, machine learning modeling, scientific writing, bioinformatics analysis, and research methodology support.
What is eSupervisor on Research Decode?
eSupervisor connects researchers with experienced faculty members and experts from leading institutions who provide mentorship and research guidance. They can assist with research project planning, thesis or dissertation supervision, research methodology, data analysis, and scientific writing.
Who can join Research Decode?
Research Decode is open to researchers seeking support and experts who want to offer mentorship. This includes PhD scholars, academic researchers, early-career scientists, and independent researchers. Experienced faculty and researchers can also join as eSupervisors to guide others and offer specialized research services.
What is a research collaboration platform?
A research collaboration platform allows researchers to connect and work together on academic or scientific projects. On Research Decode, users can create collaboration cards describing their ideas or projects, enabling other researchers with relevant expertise to join and contribute.
What is research freelancing?
Research freelancing allows researchers to offer their expertise as professional services. On Research Decode, experts can provide services such as data analysis, machine learning modeling, bioinformatics analysis, literature reviews, scientific writing, and research methodology support.
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