Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
DS4CG iNaturalist Geomodel Annotation Tool
Published in Center for Data Science and New England Computer Vision (NECV) Workshop, 2024
Expert-in-the-loop platform to collect species data and improve species distribution model accuracy. Developed and deployed a web application that enables experts to annotate species range maps using predictions from the SINR GeoModel- ML-based range prediction model to refine species distributions.
Project was apart of the Data Science for the Common Good Program at UMass Amherst in collaboration with UMass Researchers Prof. Grant Van Horn and Prof. Subhransu Maji.
post video code poster
Investigating Different Geo Priors for Image Classification
Published in Fine-Grained Visual Categorization (FGVC) workshop at CVPR, 2025
I investigated the effectiveness of SINR as a geographical prior for an image classification task and the performance implications of combining the outputs of multiple predictive models. This work was accepted to FCVC 12 workshop at CVPR.
Independent study for the Spring 2025 term supervised by Professor Subhransu Maji and in collaboration with the rest of the GeoModel Research Group.
paper poster
Exploring MCMC Samplers for N-Mixture Models
Published in 2026 Confluence Symposium at Oregon State University, 2026
The goal of this work is to learn the mechanistic behavior of Markov Chain Monte Carlo (MCMC) samplings algorithms used for N-Mixture models. We develop our own MCMC samplers using the Metropolis Hastings sampling algorithm and compare against NIMBLE. We start by creating simulated data and then use our samplers to learn back the parameter estimates. To be clear, this is not novel research, this was a project to understand how mcmc sampling works for an ecologial scenario.
Project was the final project of a graduate Advanced Probabilistic Graphical Models course (AI 539) at Oregon State University taught by Professor Weng-Keen Wong, artifacts include a presentation and a paper to document the work. And a poster was presented as apart of the Confluence Symposium held at OSU.
paper poster presentation code
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.