Guest Researcher · IIASA · Jan 2026 – present
Dr.Sinchan Ghosh
সিঞ্চন ঘোষ
Ecological modeller · quantitative ecologist
Post-doctoral researcher at the International Institute for Applied Systems Analysis (IIASA), translating complex biological dynamics into actionable conservation and management strategies. I work with ordinary differential equations, machine learning and probability theory to forecast ecosystem responses, model wildlife epidemiology, and guide evidence-based policy.
At a glance
The work, in figures
peer-reviewed publications, listed by project
ecological systems modelled, from the Gangetic delta to the Scandinavian taiga
interactive stakeholder tools that run in the browser
current institution — Laxenburg, Austria
PhD in Zoology, Visva-Bharati University, Santiniketan
Core competencies
What I do
Four strands of practice that recur in every project: computational, ecological, analytical, and applied.
Computational modelling
- Ordinary differential equations (ODE)
- Machine learning (hierarchical SDMs)
- Probability theory & Bayesian methods
- Process-based modelling
- Integrated population modelling
- Capture–recapture analyses
Ecological domains
- Agro-ecology
- Wildlife population dynamics
- Eco-epidemiology
- Conservation policy & management
- Predator–prey & food-web dynamics
- Boreal & farmland habitat systems
Analytical methodologies
- Habitat suitability & corridor modelling
- Species distribution models (MaxEnt, GBM)
- Reproductive success forecasting
- Regime & stability analyses
- Spatiotemporal analyses (QGIS / ArcGIS)
- Growth metrics & bias correction
Technical deployment
- Python · R · MATLAB · Stella
- Interactive web dashboards (JavaScript)
- QGIS · ArcGIS · geospatial analysis
- CMIP6 · ERA5 · GBIF · TRY databases
- Conda-managed reproducible environments
- LaTeX · scientific communication
Research & stakeholder tools
Models you can open
Decision-support applications built from the research — for foresters, wildlife managers, and game planners.
Habitat density for moose, roe deer and grey wolf across 374 grid cells under five IPCC pathways, 2025–2060 — machine-learning SDMs coupled to predator–prey ODEs.
Metabolizable energy and Jacobs' D preference indices for boreal ungulates — 72 records, Menke coefficients, open to community contribution.
A simulator of the black alder eco-epidemic system: within-season ODE and annual map, parasitoid biocontrol, regime-shift early warnings, and integrated pest-management comparison.
Current position
Where the work happens
present
Dec 2025
Habitat systems
- Farmland
- Riparian
- Estuarine
- Grassland
- Boreal forest
Public databases
- GBIF
- eBird
- iNaturalist
- TRY
- CMIP6
- CRU
- ERA5
- EUR-11
- LUCAS
- India-WRIS
- Bhuvan
- InsectBase
Peer review & service
Reviewer for Ecological Modelling, Ecological Indicators and Scientific Reports. Editorial service: NDC E-BIOS (2023–present), Bulletin of the Calcutta Mathematical Society (2022–23). Member of the European Geosciences Union, the International Society for Behavioral Ecology, and the Calcutta Mathematical Society.