Chiti Agarwal
Chief Executive Officer
About
There is a difference between data that is technically compliant and data that is scientifically defensible. Across regulatory-facing life science organizations, teams often have datasets that pass validation checks formatted correctly, stored securely, and approved by IT. Yet during regulatory review, due diligence, or late-stage scrutiny, those same datasets can become difficult to defend scientifically. Why does a control group trend unexpectedly late in the study? Why do outlier patterns shift across assay versions or batches? These questions aren’t answered by data hygiene alone. I act as an independent scientific peer “red team” for pivotal datasets reviewing them the way a skeptical subject-matter expert or regulator would. The focus isn’t whether the spreadsheet is clean, but whether the biology, experimental logic, and statistical patterns hold up under challenge. Internal data teams and IT partners are essential for compliance and infrastructure. My role is complementary: to identify inadvertent bias, subtle assay drift, or biological inconsistencies that automated checks don’t surface but reviewers will question. When teams involve me? - Approaching a regulatory submission or major review. - Preparing for external audit or diligence. - Transitioning programs into late-stage development or scale-up. How I work?? As a PhD scientist with over a decade of hands-on experience in high-throughput experimental environments, I review data through a scientific. not purely analytical lens, grounded in real laboratory and operational constraints. Engagements typically begin with a short Scientific Data Diagnostic focused on a high-value dataset, providing clarity on scientific defensibility before critical decisions are made. If you’re preparing for a high-stakes review and would value an independent scientific perspective, I’m open to a confidential conversation about scope and timing.
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India
Biotechnology
Business Management, Executive Team, Executive Management, Interpersonal Communication, Budgeting, Operations, Next-Generation Sequencing, Technology Transfer, Continuous Process Improvement, Assay Development, Operations Management, Production Management, Knowledge Management, Quality Control, Timeline Development, Project Implementation, Issue Management, Stakeholder Management, Resource Planning, Program Management
Experience

Chief Executive Officer
Biosprint PVT LTD
BioSprint (temporary name; final brand coming soon) helps biotech, pharma, ag-tech, diagnostics, and life-science teams fix messy, inconsistent scientific data and become AI-ready. What BioSprint does: • Clean & structure scientific and operational data • Fix LIMS/Excel inconsistencies and missing metadata • Standardize workflows for QC, R&D, NGS & manufacturing • Reduce manual reporting, rework, and data delays • Build practical AI-readiness frameworks for labs Why it works: I combine deep scientific operations experience (NGS, QC, tech transfer, automation) with practical data cleanup and workflow design. The goal: clean data, clear workflows, faster decisions. BioSprint is operating under a temporary name; the final registered brand will be announced soon.

Research Assistant
Pullman, Washington
Identified Sources of resistance in mini-core chickpea collection from ICRISAT, India, and NPGR, U.S. to seed rot and pre-emergence damping-off caused by Pythium ultimum by developing cornmeal vermiculite inoculum. Performed genome-wide association mapping (GWAS) and quantitative trait loci (QTL) mapping for resistance to diseases caused by metalaxyl resistant Pythium ultimum and Ascochyta rabiei using chickpea recombinant inbred lines (CRIL-7) and mini-core chickpea collection. Identified significant SNP molecular markers and candidate loci for resistance to seed damping-off and seed rot caused by Pythium ultimum and Ascochyta blight to improve chickpea breeding program.

Teaching Assistant - General Biology
Pullman, Washington, United States
Development of study material and quizzes for lab and lab lectures, facilitation of discussion in the lab, experiment preparation, and grading of lab quizzes, assignments, and homework.

Business Analyst
Cognosante

Graduate Student Research Assistant
Fargo, North Dakota Area
Worked on genome wide association mapping for agronomic traits of dry bean breeding population. Identified candidate genes associated with plant height, yield, 100- seed weight and, days to maturity. Conducted statistical analysis on the data collected from the fields and greenhouse. The results provided valuable SNP markers and genes for dry bean breeding program. Identificated and characterizated of new sources of resistance to white mold in dry beans breeding lines using SCAR, RFLP, SRAP, RAPD and SSR markers.

Undergraduate Student Researcher
Fargo, North Dakota Area
Collected phenotypic data from bean fields and greenhouse, involved in harvesting and processing of the plant samples, generation increase by single seed descend method, recurrent selections, plant row selection, followed by primary and advanced yield trial. Worked in the wheat breeding lab and screened spring wheat populations in the greenhouse to identify Fusarium head blight disease-resistant genotypes and evaluated greenhouse and field data of North Dakota. Biometrical analysis of fossil seeds from Miocene-aged deposits in Antarctica using digital microscopy. Analyzed ACCase sequences and compared the mutation sites to identify herbicide-resistant or suseptible wild oat.
Education
Chiti Agarwal's Contact Information
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