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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.
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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.
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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.
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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.
Short description of portfolio item number 1
Short description of portfolio item number 2
Predicted the 2020 All-NBA team with 87% accuracy using a multi-layer perceptron neural net optimized and trained on 20 seasons of NBA statistics.
Figures: Left - model correctness for 2020 All-NBA team. Right - feature weights for center position (based on a comparable accuracy random forest model trained on same dataset)
Applied various machine learning techniques (Support Vector Machines, Clustering, Multi-Dimensional
Scaling, Principal Component Analysis) and statistical analysis tools (Representational Similarity Analysis, correlational maps and matrices) to classify, predict, and examine neural data.
Figures: Left - seed region where fMRI data was extracted from when viewing an item. Middle - 2D representation of data from PCA. Right - 3D representation from PCA.
Here, I led a project at Columbia Medical Center to generate informative clinical subtypes in a large dataset of patients with MS. In evaluating the clinical features available, I chose to apply a self-optimized version of SuStaIn (sub typing and staging inference) and identified 3 subtypes that differed in their disease progression as well as demographic and neurophysiological features.
Figures: Left - kernel density estimates of clinical features between patients and asymptomatic patients. Right - derived subtypes from patient data.
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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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.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
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