Those pesky little bugs flying around the overripe bananas in your kitchen may hold the key to understanding something new about how our bodies work. That’s right, the fruit fly (Drosophila melanogaster) is a widely used research organism in genetics because of its superpower of reproducing quickly with similar genes to people.

Researchers have been studying fruit flies for over a century for many reasons. First, they’re easy to please—just keep them at room temperature and feed them corn meal, sugar, and yeast (or those bananas on your counter!). Second, they reproduce more quickly and have shorter life cycles than larger organisms. A female can lay up to a hundred eggs in a day, and those eggs develop into mature adult flies within 10 to 12 days. A third reason is the simplicity of the fruit fly’s genome, which only has four pairs of chromosomes compared to the 23 in humans. And on a logistical note, the male and female flies are easy to tell apart (genetic studies often require separating males and females, which isn’t an easy feat in all organisms).

Nanoparticles may sound like gadgets from a science fiction movie, but they exist in real life. They’re particles of any material that are less than 100 nanometers (one-billionth of a meter) in all dimensions. Nanoparticles appear in nature, and humans have, mostly unknowingly, used them since ancient times. For example, hair dyeing in ancient Egypt involved lead sulfite nanoparticles, and artisans in the Middle Ages added gold and silver nanoparticles to stained-glass windows. Over the past several decades, researchers have studied nanoparticles for their potential uses in many fields, from computer engineering to biology.

A nanoparticle’s properties can differ significantly from those of larger pieces of the same material. Properties that may change include:

What do worm blobs and insect pee have to do with human health? We talked to Saad Bhamla, Ph.D., assistant professor of chemical and biomolecular engineering at Georgia Institute of Technology (Georgia Tech) in Atlanta, to find out.

Q: What did your path to becoming a scientist look like?

A: I grew up in Dubai and did my undergraduate work in India, which is where I was first introduced to science. The science faculty members seemed to be having so much fun and would say things like “for the love of science,” but I couldn’t figure out what joy they were getting until I got a taste of it myself—then I was hooked. I like the idea that you can create a legacy doing science because someone can come along 100 years later and build on your work.

After undergrad, I went to Stanford University and earned my Ph.D. in the lab of Gerald Fuller, Ph.D., and then stayed at Stanford for postdoctoral work (postdoc) in the lab of Manu Prakash, Ph.D. In 2017, I joined the faculty at Georgia Tech. On paper, I’m a chemical engineer, but I describe myself as more of a biophysicist.

"Water bear" or "moss piglet"? No matter what you call them, tardigrades have secured the title of cutest invertebrate—at least in our book. They’re tiny creatures, averaging about the size of a grain of salt, so while you can spot them with the naked eye, using a microscope is the best way to see them. They earned their nickname of water bear and their official name (which comes from tardigradus, Latin for “slow walker”) because of the way they lumber slowly and deliberately on short, stubby legs.

Did you know that kids aren’t the only ones playing around in sandboxes? The term sandbox may evoke a childhood memory of sensory play, but it’s also used to describe a virtual environment where someone can learn from digital products.

The power of computer code has been a longtime fascination for Tomas Helikar, Ph.D., a professor of biochemistry at the University of Nebraska-Lincoln (UNL). In college, when he learned he could use that power to help researchers better understand biology and improve human health, Dr. Helikar knew he’d found his ideal career. Since then, he’s built a successful team of scientists studying the ways we can use mathematical models in biomedical research, such as creating a digital replica of the immune system that could predict how a patient will react to infectious microorganisms and other pathogenic insults.

A Career in Computational Biology

Dr. Helikar first became involved in computer science by learning how to build a website as a high school student. He was amazed to learn that simple lines of computer code could be converted into a functional website, and he felt empowered knowing that he had created a real product from his computer.

“One of the biggest things I hope for in my career is that in 20 years, I still feel the same joy and enthusiasm for research and training that I feel now,” says Prabodhika Mallikaratchy, Ph.D., a professor in the department of molecular, cellular, and biomedical sciences at the City University of New York (CUNY) School of Medicine. Dr. Mallikaratchy talks with us about her career path, research on developing new immunotherapies and molecular tools using nucleic acids, and her belief in the importance of being passionate about your career.

Q: How did you first become interested in science?

A: Growing up in Sri Lanka, I was always a curious child. I remember being drawn to science and math, but there was no particular incident that sparked my interest. By the time I reached high school, though, I had become especially interested in chemistry.

“I love that you can change the molecular-level structure of a material, then pull it, bend it, or twist it and see firsthand how the molecular changes you introduced influence its stretchiness or bendiness,” says Frank Leibfarth Ph.D., an associate professor of chemistry at the University of North Carolina (UNC) at Chapel Hill. In an interview, Dr. Leibfarth shares with us his scientific journey, his use of chemistry to tackle challenges in human health and sustainability, and his beliefs on what makes a career in science exciting.

When she started college, Anne Carpenter, Ph.D., never guessed she’d one day create software for analyzing images of cells that would help identify potential medicines and that thousands of researchers would use. She wasn’t planning to become a computational biologist, or even to focus on science at all, but she’s now an institute scientist and the senior director of the Imaging Platform at the Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard in Cambridge.

Starting Out in Science

Before beginning her undergraduate studies at Purdue University in West Lafayette, Indiana, Dr. Carpenter’s strongest interests were reading and writing. Then, her subjects expanded. “In college, I liked science as much as anything else, and I realized that was unusual, as a lot of other people really struggled with it. I decided to pursue science because I enjoyed it and the field had good job prospects,” she says. Dr. Carpenter majored in biology because she felt it had the “juiciest questions” as well as a direct impact on human health.