Fascinating stories told by scientists and data visualizations that explain the world around us.
I am a molecular biologist fascinated by the mysteries of life. I earned my PhD in Oncological Sciences and Masters in Clinical Investigation from the University of Utah School of Medicine. My research investigates how the immune system fights cancer and what we can do to make this process better. I love talking about science and data (scientific and otherwise) to make sense of the world around us. This is why I created Science Loft –simply to share cool stories from the world of science and data. Occasionally, I will write about technical stuff (code) in the hope that it might help someone somewhere. When I am not doing experiments or writing code, I can be found dancing tango and salsa, or playing a musical instrument or two.
PhD in Molecular Biology, 2018
University of Utah
MSc in Clinical Investigation, 2018
University of Utah
BSc in Molecular Biology and Genetics, 2011
Izmir Institute of Technology
Lighthearted tales from the world of science
Artificially beefed-up male pigeons behave as if they are socially superior than others. Frickin gym all over again…
The unique sequence of our DNA is what differentiates us from one another, and from other organisms. But, how unique is DNA really?
The central rule of pretty much every weight loss program is “burn more, eat less”. However, science is discovering that the calorie math may not be that simple. Wouldn’t it be just great to eat as much as we want and keep lean?
The world around us in graphs
When was the last time you wanted to stream a movie and spent more time searching for one than watching it? Picking a good movie to watch is becoming more and more difficult thanks to an ever-increasing number of choices we have in streaming nowadays.
The death of George Floyd under police custody shook the US at its core and sparked nation-wide protests against police brutality and racism. This senseless killing of yet another unarmed black citizen made me wonder about the statistics about police violence and accountability.
Code bits, programming recipes, and notes-to-self
A few neat tricks to make Rmarkdown reports more readable
We have recently published a Shiny (R) app called Cluster Identity Predictor (CIPR) in BMC Bioinformatics that helps annotate unknown clusters in single cell RNAseq (scRNAseq) datasets. CIPR does its thing by comparing the gene expression signatures of unknown clusters against signatures from known cell types.
Even though I do this fairly often, I keep forgeting its recipe. I might as well write it down and save time for my future self and others like me.
To understand how these algorithms work, let’s make up a toy data frame about shark attacks. Imagine that we are trying to find out the factors that are associated with the number of shark attacks at a given location.