Mexico Project, Final Presentation

Summary

I spent January 2011 in Cuernavaca, Mexico and worked on a project to model the Notch and JAK/STAT signaling pathways. This is part of one presentation, which I gave in Spanish.

This is my final presentation after my stay in Cuernavaca, Mexico during January 2010 (MIT's IAP period, when you are given a month to do whatever you want) where I was working with Dr. Fernando Ramos. It mostly focuses on applications and explaining basics to the biologists who were interested in developing computational models for their research on cervical cancer.

-biafra
bahanonu [at] alum.mit.edu

other entires to explore:

barcelona project
13 july 2010 | science

One of the presentations I had to give during my stay in Barcelona. Detailed some of the progress made in characterizing the response of di[...]fferent Drosophila species to a set of odors.

state of sbsa: a review of 2017 and thoughts on future directions
04 june 2017 | sbsa

I spent the past year leading the Stanford Biosciences Student Association (SBSA) as President. This post consist of the letter to the comm[...]unity I sent out at the end of my term giving some highlights of the past year, those who have helped out, and thoughts on future directions.

2016 presidential election campaign posters
28 august 2016 | politics

A series of posters about the 2016 presidential election. They will focus on the candidates themselves along with how the public reacts to,[...] and is manipulated by, the election as a whole.

satellite-based videos: eastern europe during the russia-ukraine conflict
30 november 2022 | satellite

To visualize the nighttime lights of Eastern Europe, with a focus on times before and after the ongoing Russia-Ukraine conflict, I updated [...]my geoSatView R code originally built to view forest fires in the west coast of the United States to use satellite data from VNP46A1 and other datasets collected from the Suomi NPP VIIRS satellite.

I then created higher-quality movies in MATLAB by using the VNP46A2 Black Marble dataset collected by the same satellite, which has reduced cloud and other artifacts due to additional data processing. This allowed me to quantitate a permanent reduction in nighttime lights within Ukraine (in line with my initial hypothesis) and identify a multi-stage reduction of nighttime lights in Kiev's outer neighborhoods/metropolitan area that was greater than that seen in the city core/center. This highlights the utility of public satellite data to quickly test hypotheses and visualize large-scale changes.

I will go over how the Black Marble dataset is collected and processed along with how I created the movies and the advantages/disadvantages of each data source.

Using this platform and codebase, in follow-up posts I will look at 2021 Texas power crisis during the winter storms, vegetation changes in deforested areas or after conservation efforts, and other events.

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