IIT Mandi · ICGEB · AI-Driven Digital Health · Founder, Biomedical AI Platforms

I take ideas from the genome to a product.

Cancer-genomics researcher who builds the software too — peer-reviewed MYC & renal-cancer science, citable bioinformatics tools, and clinical apps used by real patients.

See what I've built ↗ Read the research
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The through-line

One pipeline,
start to finish.

A question becomes a tool. A tool becomes a product. Most people stop at stage one — moving an idea the whole distance is the rare part.

STAGE 01

Research

the why

Computational gene-expression and network analysis of MYC across renal-cancer cohorts — uncovering diagnostic and prognostic biomarkers, peer-reviewed in Nature Portfolio and Springer journals.

View all publications →
01
STAGE 02

Tools

the how

Jyotsna's NCBI Tools — a citable, browser-based bioinformatics suite: BLAST, sequence comparison, composition analysis and primer design, archived with a permanent DOI.

Explore the toolkit →
02
STAGE 03

Products

the what

LiverTracker — an AI-powered clinical platform with automatic MELD & Child-Pugh scoring and a shipped iOS app, used by patients and shared with their care teams.

See live products →
03
Built & shipped

Software that left the lab.

Not prototypes — live products with real users, permanent DOIs, and an App Store release.

Clinical product · iOS app

LiverTracker

livertracker.com · DOI 10.5281/zenodo.18934364

Turns any lab report into MELD, MELD-Na, MELD 3.0 and Child-Pugh scores, tracks liver markers over years, and generates clean summaries for the care team. I was one of the minds behind it.

Visit livertracker.com →
Screenshot of the LiverTracker home page
Open bioinformatics · citable

Jyotsna's NCBI Tools

ncbi.jyotsnapriyam.com · DOI 10.5281/zenodo.15069907

A browser-native toolkit that talks directly to NCBI — no install, no command line. Built for researchers and students who need fast, reproducible sequence work.

Open the toolkit →
BL
BLAST
blastn · blastp
≠
Compare
subs · indels
GC
Composition
GC% · bias
→|
SNP primers
Tm · design
Screenshot of Jyotsna's NCBI Tools home page
Peer-reviewed

The questions
underneath.

MYC, renal cancer, and the network logic of how a single oncogene reshapes a tumour as it progresses.

2023
Computational gene expression and network analysis of MYC reveal insights into its diagnostic and prognostic role in subtypes of renal cancer
Applied Biochemistry and Biotechnology · 195(7)
IF 3.09
2023
Stage-specific coexpression network analysis of MYC in cohorts of renal cancer
Scientific Reports · 13(1) · Nature Portfolio
IF 5.00
2023
Therapeutic applications of carbon nanomaterials in renal cancer
Biotechnology Letters · 45(11–12)
IF 2.72
soon
Switch genes and network topology in renal cancer: deciphering driver roles from microarray datasets
Manuscript · submitted
in review
0
peer-reviewed papers
0
intl. conferences
0
GATE score · 2015
0
citable DOIs shipped
Experience

Where the work
gets applied.

AI/ML engineering and institutional research — putting computational biology and model evaluation into day-to-day practice.

Mar 2025 — Present
Turing.com
Remote · Full-time
Machine Learning Engineer
Fine-tuning & evaluating frontier AI models.
Optimize and evaluate large language models for domain-specific tasks alongside global cross-functional teams. Ran adversarial testing to surface reasoning failures, benchmarked multi-model reasoning across Nova, Claude, DeepSeek and ChatGPT, and corrected bioinformatics AI outputs across genomics and transcriptomics — plus scientific-code evaluation and model-response assessment for Anthropic.
Oct 2024 — Dec 2024
ICGEB
New Delhi · Special service agreement
Research Associate
Genomics research at a leading life-sciences institute.
Worked as a Research Associate under project DBT/21/001 at the International Centre for Genetic Engineering and Biotechnology, contributing to genomics and molecular biology research.
Let's talk

Move an idea
the whole distance.

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