Postdoctoral fellow at AbbVie biopharma, innovating at the interface of molecular systems biology, genomics, and machine learning.
My name is Tyler McLaughlin and I’m a PhD-trained scientist living in San Francisco, CA. I am currently working at AbbVie biopharmaceuticals, doing a postdoc in Computational Immuno-Oncology. My scientific career began with computational systems biology research in Pittsburgh, PA and Farmington, CT. I had a math and molecular biology double major in undergrad and so this focus felt natural. Continuing in this scientific direction, during my PhD in Systems, Synthetic, and Physical Biology at Rice University in Houston, TX, my research involved human cell biophysics and systems biology, conducting both wet lab experiments and extensive amounts of image-based and statistical data analysis. After that I was a Health Data Science Fellow at Insight Data Science in Silicon Valley during the Fall 2018 session where I did a project involving deep learning and brain waves. You can learn more about me here on LinkedIn.
Project Goals There is a new biotechnology called CyTOF that produces 40-dimensional data quantifying the expression levels of protein markers on the surface of immune and cancer cells. The recent availability of data this large has motivated the development of new methods for its analysis. Here, I use ridge and LASSO regression techniques to see if the expression level of one protein can be estimated from the expression levels of the other proteins in the...
Read more...This is a starter guide for visualizing your own graph/network data in D3 and loading it in GitHub Pages. The Javascript library D3 is known for making extremely nice looking, interactive data visualization apps that run in your web browser. Some impressive examples include Mike Barry and Brian Card’s visualizations of the Boston subway system data and an interactive neural network courtesy of Tensorflow. Even though D3 has a serious learning curve, it is possible...
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