Science and data for busy people

Fascinating stories told by scientists and data visualizations that explain the world around us.

Atakan Ekiz

Atakan Ekiz

Scientist, storyteller, data lover

University of Utah

Who am I?

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.

Interests

  • Immunology
  • Cancer Biology
  • Therapeutics
  • Data Science

Education

  • 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

Recent Stories

Lighthearted tales from the world of science

Heavy birds think they are the sh*t in their flock

Heavy birds think they are the sh*t in their flock

Artificially beefed-up male pigeons behave as if they are socially superior than others. Frickin gym all over again…

How different is our DNA from one another and, say, from yeast?

How different is our DNA from one another and, say, from yeast?

The unique sequence of our DNA is what differentiates us from one another, and from other organisms. But, how unique is DNA really?

Fight obesity by not eating late

Fight obesity by not eating late

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?

Recent Visualizations

The world around us in graphs

I heard you like streaming movies...

I heard you like streaming movies...

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.

Race and police violence in the US

Race and police violence in the US

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.

Recent Technical Posts

Code bits, programming recipes, and notes-to-self

Useful YAML options for generating HTML reports in R

Useful YAML options for generating HTML reports in R

A few neat tricks to make Rmarkdown reports more readable

Annotating unknown clusters in scRNAseq data using CIPR: A cross-species reference comparison

Annotating unknown clusters in scRNAseq data using CIPR: A cross-species reference comparison

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.

Programmatically create new headings and outputs in Rmarkdown

Programmatically create new headings and outputs in Rmarkdown

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.

Understanding Lasso and Ridge Regression

Understanding Lasso and Ridge Regression

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.

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