Curriculum Vitae
Name: Vamika Karn
Degree: Master’s in Technology (Biotechnology)
Employment Details
Aug 2022 – Jan 2024: Research Assistant at Daksh Foundation
- Assisted in providing hands-on training to students in Protein Structure Prediction and Molecular Docking.
- Conducted research work on Parkinson’s disease.
- Conducted a literature review on Machine Learning algorithms for diagnosing Parkinson’s disease.
Jan 2024 – June 2024: Dissertation Trainee at Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Mumbai
- Gene regulator network analysis of cancer-specific biomarkers of clear cell renal cell carcinoma.
- Worked with R, TCGA, and Machine Learning.
- Performed Multi-Omics Data Integration, Network Inference, Network Simulation, Cox Regression, and Survival Analysis.
Basic Academic Details
Course: M. Tech Biotechnology
Name of Institute: Amity Institute of Biotechnology (Amity University Mumbai)
Passing Year: 2024
Percent/CGPA: [hidden]
Course: B. Tech Biotechnology
Name of Institute: Amity Institute of Biotechnology (Amity University Mumbai)
Passing Year: 2022
Percent/CGPA: [hidden]
ISC (XII): Carmel High School, 2016, [hidden]
ICSE (X): Carmel High School, 2014, [hidden]
Internships
Quantium Data Analytics Internship, Quantium
- Data Preparation
- Experimentation and Uplift Testing
- Analytics and Commercial Application
Summer Intern at Centre for Computational Biology & Translational Research, Amity
- Identification of high-risk genes in Parkinson’s disease using Galaxy web server.
Project Student at Centre for Computational Biology & Translational Research, Amity University Maharashtra (AUM)
- Structural and translational analysis of embB receptor and its mutants for MDR-tuberculosis.
- Performed Protein Structure Prediction, Molecular Docking, and MD Simulation.
Skills
- Languages: R, Bash, Python
- Version Control: Git, Github
- Tools and Software: GATK, bcftools, samtools, bamtools, and more
- Methods and Concepts: Multi-Omics Data Integration, Machine Learning, Cloud Data Engineering, and more
- Wet Lab Techniques: Autoclave, UV/Vis Spectrometer, Centrifuge, Gel Electrophoresis, and more
Ongoing Research Work
- Mutational analysis of first-line drug receptors for MDR tuberculosis.
- Genomics and Multi-Omics Analysis of human cancer.
Courses and Certifications
- Gut Check: Exploring your microbiome, Coursera
- Computer-Aided Drug Design, Biotechnika
- Machine Learning for Beginners, Microsoft, Github
- Data Science Course – Mastering the Fundamentals, Scaler
- R for Beginners’, Daksh Foundation
Publications
- Extracellular Vesicular miRNA in Pancreatic Cancer: From Lab to Therapy, Cancers, MDPI. (Impact Factor = [hidden])
- Mechanistic influence of discreet conformation of human telomerase linker region, Journal of Biomolecular Structure and Dynamics, Taylor & Francis. (Impact Factor = [hidden])
- Structural variation and transitional analysis of embB receptor with its mutants leading to drug resistance in tuberculosis, Asian Journal of Microbiology, Biotechnology, & Environmental Sciences. (NAAS Rating = [hidden])
- CRISPR/Cas9 system in breast cancer therapy: advancement, limitations and future scope, Cancer Cell International, BMC. (Impact Factor = [hidden])
- Extracellular Vesicle-Based Therapy for COVID-19: Promises, Challenges and Future Prospects, Biomedicines, MDPI. (Impact Factor = [hidden])
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