SKSylvia Kinya

Bioinformatics • Computational Toxicology • Cheminformatics

I connect molecular evidence with computational decisions.

I’m Sylvia Kinya, a bioinformatics data scientist and biochemist working across omics, toxicology, chemical structure and in vivo research to answer biologically meaningful questions.

Explore my expertiseView GitHub
4.0
M.S. GPA
5+ yrs
Research experience
Wet lab → data
Integrated perspective
EvidenceBiologyinterpreted through data
OMICSTOXCHEMIN VIVO
About

Science is strongest when its disciplines communicate.

My path began in biochemistry and public-health laboratories, expanded through animal research and molecular biology, and now centers on bioinformatics-based computational toxicology. That range helps me translate between experimental context and computational output.

I earned an M.S. in Bioinformatics Data Science from the University of Delaware in May 2026 with a 4.0 GPA. My long-term scientific focus is disease biology—especially women’s health, reproductive disease and biomarker discovery.

Core expertise

From experimental systems to reproducible analysis.

A multidisciplinary toolkit shaped by public-health research, graduate bioinformatics and pharmaceutical toxicology.

01

Bioinformatics & Omics

RNA-seq, differential expression, pathway-level interpretation, variant analysis and multi-omics thinking for disease-focused research.

  • RNA-seq
  • edgeR
  • ssGSEA / GSVA
  • Genomics
02

Computational Toxicology

Mechanistically informed analysis that connects chemical structure, exposure, biological response and regulatory decision-making.

  • Dose–exposure
  • Genetic toxicology
  • NAMs
  • Risk interpretation
03

Cheminformatics

Structure-based workflows for chemical-space analysis, molecular descriptors, similarity, read-across and QSAR/SAR.

  • QSAR / SAR
  • Descriptors
  • Read-across
  • Chemical space
04

In Vivo & Wet Lab

A laboratory foundation spanning animal research, molecular biology, microbiology and translational study support.

  • Rodent handling
  • PCR
  • Flow cytometry
  • Micronucleus studies

Selected work

Questions explored across molecules, tissues and populations.

Public-safe summaries of professional and academic work. Company compounds, internal thresholds and study-specific findings remain confidential.

01Computational Toxicology · Cheminformatics

Mechanistic NDSRI Risk Framework

A bioinformatics-based structure–activity workflow for interpreting data-poor nitrosamine drug substance-related impurities without exposing proprietary compound information.

Feature encoding · Chemical-space mapping · Read-across · QSAR/SAR · Metabolic activation

Scientific valueConnects molecular structure to biological plausibility and evidence-weighted risk interpretation.

02Women’s Health · Transcriptomics

Endometrium vs Fallopian Tube RNA-seq

A tissue-level transcriptomic comparison designed to identify distinct biological programs across two closely related reproductive tissues.

STAR · HTSeq · edgeR · PCA · Enrichment · ssGSEA / GSVA

Scientific valueResolved strong ciliation signals in Fallopian tube and implantation / stromal-remodeling programs in endometrium.

03Data Science · Toxicology

Dose–Exposure Study Intelligence

A reproducible analysis framework that consolidated multi-study toxicology data and evaluated exposure proportionality across study contexts.

Data harmonization · Regression · Visualization · Python cross-checks

Scientific valueTurned fragmented study outputs into a traceable evidence base for scientific interpretation.

04Machine Learning · Public Health

Childhood Heart Condition Risk Modeling

An analysis of the 2020 National Survey of Children’s Health examining individual, behavioral and socioeconomic predictors of clinician-diagnosed heart conditions.

R · Logistic regression · LASSO · Random forest · GBM · ROC-AUC

Scientific valueCompared interpretable statistical models with machine-learning approaches while addressing survey data and missingness.

Experience

A career built from bench context to computational insight.

Industry, academic and public-health experience across the United States and Kenya.

2026 — Present

Toxicology Co-op

Incyte · Wilmington, Delaware

Bridge toxicology with bioinformatics and data science through computational toxicology, cheminformatics, dose–exposure analysis and New Approach Methodology initiatives.

  • Analyze NDSRIs using molecular descriptors, chemical-space analysis, read-across and QSAR/SAR reasoning.
  • Develop traceable data workflows and support a connected NAMs knowledge foundation.
  • Expand cross-functional training in in vivo toxicology and genetic toxicology, including micronucleus studies and flow cytometry.
2025 — 2026

Animal Care Technician

OLAM, University of Delaware · Newark, Delaware

Supported humane, compliant laboratory animal research across daily care, study readiness and research documentation.

  • Handled and cared for mice, rats and voles under IACUC-aligned procedures.
  • Collected genotyping samples, maintained records and supported molecular research readiness.
2021 — 2024

Research Assistant

Kenya Medical Research Institute · Nairobi, Kenya

Contributed to molecular diagnostics, infectious-disease surveillance, microbiology and zoonotic disease research.

  • Conducted 1,000+ PCR and antigen tests and contributed to viral genomic characterization.
  • Performed DNA/RNA workflows, bacterial culture, antimicrobial susceptibility testing and field sample collection.

Technical toolkit

Applied skills, clearly separated from what comes next.

I value honest technical positioning: established tools are shown alongside actively developing workflow and omics capabilities.

Analysis & programmingAPPLIED
  • Python
  • R
  • SQL
  • Bash
  • Linux / Unix
  • Jupyter
  • DuckDB
BioinformaticsAPPLIED
  • STAR
  • HTSeq
  • edgeR
  • GSVA / ssGSEA
  • Cytoscape
  • Variant analysis
Platforms & reproducibilityAPPLIED
  • Git
  • GitHub
  • AWS
  • Conda
  • GraphPad
Developing nextACTIVE DEVELOPMENT
  • Nextflow
  • Docker
  • Spatial transcriptomics
  • scRNA-seq
  • WGS / WES pipelines

Education & leadership

Scientific training strengthened by service and community.

2026

M.S. Bioinformatics Data Science

University of Delaware · GPA 4.0

2019

B.S. Biochemistry

Chuka University · GPA 3.62

Leadership
  • Treasurer · Bioinformatics Student Association
  • Event Coordinator & Social Media Manager · AGSO
  • Social Media Manager · Graduate Scientista Chapter

Let’s connect

Interested in data-driven discovery?

Email SylviaLinkedInGitHub