Dreading December: Fall is Just That Time of Year 

Posted on by Haya Elamir

this image is for aesthetic reasons and depicts an iconic part of campus: Nassau Hall

Nassau Hall on Princeton’s campus. Photo Credit: Adriana De Cervantes.

I think that November is a critical month for the fall semester. Many students feel more pressure to do better for the rest of the semester as midterm grades come in. Students in labs start to have their lab work amp up at this point in the semester, especially newbie researchers who just joined a lab in September. That ‘just getting to know the lab’ phase is over; the sun is setting at an outrageous time; the weather is getting colder; and the professors seem to make less sense. Holidays feel like they’re right around the corner, so the end of the semester feels so close yet so far. In short, November and the first half of December is a weird limbo phase that, at its best, is a transition/preparation period and, at its worst, purgatory. With this pressure in mind, it becomes important to recognize how to balance research work and studies and mental health and social life and…and…and the list goes on.

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To Ph.D. or Not to Ph.D.: An Interview with Microbiology Ph.D. Candidate Ciara Sanders

Posted on by Haya Elamir

Showing the person I interviewed to add a face to the name and words

Headshot of Ciara Sanders, Ph.D. student. Photo credit: Ciara Sanders.

For this post, I decided to ask third-year Ph.D. student Ciara Sanders in Dr. Brooks Lab here at Princeton about her experience in molecular biology graduate school. She hails from California and is currently carrying out microbiology research for her Ph.D. For students considering molecular biology research/Ph.D. as a career, these questions may help answer any concerns you have, especially since medical school seems to be the popular option for molecular biology majors.  

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Mystery Writers in Research Labs: How to Analyze Your Data

Posted on by Haya Elamir

The image is to depict a study corner in the Trustee Reading Room to add the feel of a study session to the post since it is about analyzing data.
Trustee Reading Room, Firestone Library. Photo credit: Matt Raspanti.

“So what does this data mean?” My professor asked, looking at me expectantly. What does the data mean? “What does this data tell you about the cancer cells?” If he thought rephrasing it made it any better, it didn’t. I am not quite sure what I said to save face (and frankly, I really do not want to remember), but I must have said something because my professor just nodded. “When you look at your data, I want you to create a story. It may be a mystery, but then you’d be providing a certain set of clues.” 

It is very easy to get caught up in generating data, especially if the data is particularly tricky and you’re concerned about making sure it looks right, generating the right graphs, having the right axes, numbers and titles. It can be a headache. By the time the graphs are done, I would rather not look at it anymore or think too hard about the numbers. However, as lab reports and analysis questions stack up for our classes, it becomes prudent to know how to analyze these graphs. While I am not a seasoned veteran, I have a few tips that helped me approach these types of situations.

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