Sagrika Chugh

Data, Insights & Research Professional

I am a PhD-trained data and insights professional with more than five years of experience across research, analytics and evidence generation. I turn complex datasets into clear, actionable insights that support decision-making, evaluation, reporting and strategic planning.

Currently, I work across biomedical research and data-intensive analytical projects at the University of Melbourne and St Vincent's Institute of Medical Research, applying quantitative methods, reproducible workflows and stakeholder-focused reporting to real-world challenges.

Data Analysis Evidence Translation Evaluation Reporting Data Visualisation Accessibility & Inclusion
5+ yearsResearch, analytics and evidence-generation experience.
6,000+Downloads and installations of software developed for the research community.
Large-scale dataExperience with complex data across genomics, health and research settings.
Cross-functionalCollaboration with researchers, clinicians and multidisciplinary stakeholders.
Research impactContributed to peer-reviewed publications in leading international journals.
About

Analysis with academic rigour and applied judgement.

I’m a PhD-trained analyst and research professional with experience spanning quantitative analysis, evidence generation, stakeholder communication and research translation.

My work focuses on transforming complex datasets into actionable insights that support understanding, evaluation and decision-making. Across research, analytics and collaborative projects, I have developed expertise in statistical analysis, reporting, reproducible workflows and communicating evidence to technical and non-technical audiences.

Over time, my interests have expanded beyond technical analysis into evaluation, accessibility, stakeholder engagement and evidence-informed decision support. I am particularly drawn to environments where problems are complex, evidence is nuanced and effective communication is as important as analytical rigour.

Capabilities

The mix I bring.

Data Analysis & Insights

From complex data to practical interpretation

Statistical analysis, complex data integration, trend identification, quality checks and evidence-based recommendations.

Evaluation & Reporting

Clear evidence for decisions

Reporting frameworks, cohort summaries, monitoring and evaluation support, interpretation notes and stakeholder-ready outputs.

Research Translation

Making technical work usable

Presentations, briefings and visual summaries that communicate methods, uncertainty, findings and implications.

Inclusion & Accessibility

Evidence with people in view

Accessibility initiatives, inclusive conference planning, participation support and equity-minded analytical thinking.

R Python Excel Shiny Quarto Git/GitHub Statistical Analysis Data Visualisation Reporting & Insights Evaluation Stakeholder Communication Reproducible Workflows
Experience

Where I have built evidence, analysis and collaboration.

St Vincent's Institute of Medical Research logo

Postdoctoral Research Fellow, Bioinformatics

April 2025 - present

St Vincent's Institute of Medical Research & University of Melbourne

  • Work across biomedical research and data-intensive analytical projects using quantitative methods, reproducible workflows and stakeholder-focused reporting.
  • Build privacy-aware exploratory tools and summaries that help collaborators interpret complex research outputs without needing to write code.
  • Translate analytical findings into presentations, visual outputs and manuscript-ready evidence for multidisciplinary audiences.
University of Melbourne logo

PhD Researcher, Bioinformatics

Dec 2020 - March 2025

University of Melbourne

  • Developed simPIC, an open-source R/Bioconductor package with 6,000+ downloads and installations by the research community.
  • Contributed to a 142-donor Nature Genetics study linking cell-type-specific expression patterns with disease-associated regulatory variation.
  • Delivered a PhD thesis passed without comments, alongside reports, presentations and reproducible analytical workflows.
University of Melbourne logo

Tutor, Data Analysis

2023

School of Mathematics and Statistics, University of Melbourne

  • Supported undergraduate learning in statistical reasoning, data interpretation and applied analytical thinking.
  • Communicated analytical concepts clearly to students with different levels of technical confidence.
International Centre for Genetic Engineering and Biotechnology logo

Senior Research Assistant, Bioinformatics

2019

International Centre for Genetic Engineering and Biotechnology, New Delhi

  • Performed genomic data analysis within an international research environment before commencing doctoral training.
Research moments

A few moments from research, communication and training.

Sagrika Chugh at her PhD graduation ceremony
Dec 2025Thesis award Recognition of doctoral research and thesis completion.
Sagrika Chugh presenting research to stakeholders
July 2024Stakeholder talk Communicating research to supporters and non-specialist audiences.
Sagrika Chugh with supervisors after final thesis seminar
Nov 2024Final thesis seminar Presenting doctoral research and analytical outputs.
Sagrika Chugh receiving an ABACBS Amplify award
Nov 2025ABACBS Amplify award Recognition for contribution and engagement in the computational biology community.
Sagrika Chugh at the Statistical Genomics Summer School at Oxford
June 2023Oxford summer course Advanced training through the Statistical Genomics Summer School at Oxford.
Selected work

Projects that connect analysis, tools and evidence.

A compact selection of public work and privacy-safe examples that show how I build reproducible analysis, usable tools and clear research communication.

Open-source software

simPIC

Open-source R package for synthetic single-cell ATAC-seq data.

Impact
6,000+ downloads; supports method benchmarking.

Tools
R · Bioconductor · simulation

Research evidence

Disease association analysis

Contribution to a 142-donor Nature Genetics study of disease-relevant expression patterns.

Impact
Strengthened evidence for cell-type-specific disease mechanism research.

Tools
R · statistical modelling · reproducible analysis

Interactive research explorer

Niche Explorer

Privacy-safe mock-up of a ShinyCell2-style interface for UMAP-style views, feature selection and metadata controls.

Output
Shows the app structure and collaborator workflow, not real data or findings.

Tools
R Shiny · ShinyCell2-style workflow · mock data

Research communication

Presentations, reports and thesis outputs

Research summaries and written outputs for technical and multidisciplinary audiences.

Output
Clear communication of results, limitations and interpretation.

Tools
Reports · presentations · thesis writing