Hello, I'm
Ecological Data Analyst & Workflow Developer
I work in ecological monitoring with Parks Canada, building data management tools and analysis workflows that bridge field science and data-driven insight.
I'm an ecological data analyst working with Parks Canada on ecological monitoring programs in the mountain national parks. My work sits at the intersection of field ecology and data science — collecting environmental data, then building the tools to make sense of it.
I'm particularly passionate about data management workflows and creating user-friendly tools that make complex analyses more accessible. I am highly confident in using AI tools in my development process to build robust data pipelines, Streamlit and web applications, and machine learning workflows.
Outside of work, I apply the same data-driven approach to ultra marathon training. Recently, I built a web app to track my training since a spreadsheet just wasn't cutting it.
Coursework included: Ecology, Research Methods, Statistics, Human Osteology (Skeletal Pathology), Biology of Human Skeletal Variability, Primatology
My research investigated the impacts of recreational disturbance on mountain goats in Banff and Yoho national parks. I used camera traps to document behavioural responses and analyzed stress hormones extracted from mountain goat hair to assess physiological impacts.
Read MSc Thesis →Analysis of plant phenology data collected across Canada's mountain national parks. Develops reproducible workflows for processing PhenoCam time-series imagery and extracting seasonal green-up and senescence signals using CNN-based image segmentation. To see an demo of the data visualization Streamlit web app, check out the link below.
A personal web app built to log and visualize to plan, track and visualize training data for the endurance athlete. Proves that my passion for building data management tools applies equally towork and my love for endurance sports.
A web app for Parks Canada staff to track their commuting days. The app allows users to simply track which days they commuted into the office on their phone or computer and then helps populate a standarized commuting form at the end of each month or quarter. To check out a demo of the app, follow the link below.
Data-focused ecologist with an MSc in Forestry (honours) and 9+ years of experience in ecological monitoring and research. Specializing in building reproducible data workflows, QA/QC systems, and analysis pipelines using R and Python. Experienced in statistical modeling, spatial analysis, and image-based phenology workflows.
Resource Management Officer I
Graduate Researcher
Teaching Assistant
Resource Management Officer, Technician & Student Roles
Web App
Web App (In Progress)
MSc Forestry (Honours)
BSc Anthropology
Download destination is controlled by your browser settings.
Comparison table columns: k, basis, edf, ref_df, F_value, p_value, adj_r_sq, dev_expl, reml_score, scale, sp, k_index, k_p_value, max_dev_expl, within_threshold.
Seasonal timing parameters derived from the final fitted GAM curve. IVI = Integrated Vegetation Index (AUC between SnowFree and SnowCover).
Compare GAM (mgcv), Phenopix spline, and double logistic (Savitzky–Golay smoothing → Beck fit) workflows on the same dataset.
Select a day to log your commute.
Generate a pre-filled Excel commuting allowance record for submission.
Demo only — no actual files generated.
A web app for Parks Canada employees to log daily commutes and generate pre-filled monthly commuting allowance records in Excel format.