
smarika User
@smarikauser1
Bioinformatics student building NGS variant-analysis pipelines and a FAIR single-cell RNA-seq platform for evaluating preclinical NASH models.
What I'm looking for
I built a phased-VCF CFTR diagnostic pipeline that extracts variant and phase information from NGS data, then uses live Ensembl VEP REST API queries for variant annotation.
For the Cross-Species Translational Fidelity Atlas, I analyzed single-cell RNA-seq data to compare preclinical NASH mouse models with human data. I also built a Streamlit platform with disease search and dynamic target-gene tables, following FAIR data principles.
I'm developing a machine-learning predictor of Alzheimer's onset from digital biomarkers, and I'm designing point-of-care diagnostic devices for sepsis and autoimmune flare indicators. My research experience also includes developing collagen and bioactive-glass composite mats for wound healing and optimizing amylase production in submerged fermentation.
Experience
Work history, roles, and key accomplishments
Point-of-Care Diagnostics Devices
GITAM University
Mar 2026 - Present (7 months)
Designing an electrochemical bio patch to detect sepsis biomarkers and autoimmune flare indicators, and a portable phlebotomy safety device for low-resource clinical settings.
Summer Research Intern
CSIR-Central Glass and Ceramic Research Institute
May 2026 - Jun 2026 (1 month)
Developed fish collagen and ion-doped bioactive glass composite microfibrous mats for wound healing by synthesising bioactive glass, formulating composites, electrospinning and cross-linking marine collagen.
Amylase Overproduction by Submerged Fermentation
GITAM Bioprocessing Lab
Jul 2025 - Sep 2025 (2 months)
Increased amylase yield 3-fold by optimising inoculum density, aeration and carbon-to-nitrogen ratio in an agro-waste submerged fermentation system.
Education
Degrees, certifications, and relevant coursework
GITAM University
Bachelor of Technology, Biotechnology
2023 -
Grade: 8.36/10
Pursuing a Bachelor of Technology in Biotechnology with a CGPA of 8.36/10, expected to graduate in 2027.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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