Sarcophagus depicting king Priam imploring Achilles for the return of the body of his son, Tyre, 2nd cent AD. Photo Credit: National Museum of Beirut.
I am a Classics major on the pre-medical track, which means I spend roughly equal parts of my intellectual life in ancient texts and clinical/STEM spaces. Most people, when I tell them this, assume I’m describing a contradiction – humanities on one side, medicine on the other, and me shuttling awkwardly between them. How can my work with Ancient Greek and Latin texts possibly inform my time with patients who live in a modern world and are treated with modern medicine? How can all the time I’ve spent thinking about literature, philosophy, and art from different time periods be relevant to my day-to-day life, or my future career as a physician?
Rishika at the American Physical Society Division of Plasma Physics 2025 Conference. Funding acknowledgement: Received a student travel grant and outstanding student presenter award from the American Physical Society. Picture taken by Rishika Porandla.
At Princeton, research does not always look the way people imagine. It is not always telescopes pointed toward the sky or chalkboards filled with equations. Sometimes, it happens in quiet laboratories where the goal is to understand things you cannot even see, like streams of charged particles moving through space.
For Rishika Porandla, a member of the Class of 2028 majoring in astrophysics, this is exactly where her work lives. Her research sits at the intersection of space, plasma, and the instruments that allow scientists to study both.
When Erika Yeung arrived at Princeton, she knew she was drawn to the intersection of hardware and intelligence, the idea that physical systems like chips and sensors could not only compute, meaning process information, but also perceive the world, learn from data, and adapt over time. As a sophomore in the Electrical and Computer Engineering department, she took a bold step into that space through independent research with Professor Hossein Valavi. Her work focused on how neural networks, which are computer models inspired by the way the human brain processes information, can be redesigned to run efficiently on edge devices. These are small, local devices such as phones, sensors, or embedded systems that operate without relying on distant cloud servers.
At the heart of Erika’s work was quantization, a technique that reduces the numerical precision of neural network weights, which are the internal values that determine how the model makes decisions. Instead of using highly precise numbers, quantization simplifies them into smaller, more compact representations. This allows the model to take up less memory and run faster while still maintaining strong performance. This idea is central to fields like Edge AI and TinyML, which aim to move machine learning out of large data centers and into everyday devices, from wearable health monitors to autonomous systems operating far from the cloud. Running AI locally means the models must be not only accurate, but also lightweight, fast, and energy efficient. Quantization offers one of the most promising ways to make that possible.
Entrance to Aaron Burr Hall, home to the anthropology department and my JP adviser. Photo credit: AccessAbleUSA
Whether it’s long hours alone in a lab or late nights in Firestone, research can feel like a uniquely isolating experience. The process of compiling existing knowledge and producing new knowledge invites us to dive deep into ongoing conversations that exist within our fields. These deep dives into the procedures, frameworks, and models that define research projects require a degree of focus that can narrow our view. One of the few moments in any research journey that disrupts this individual flow is the feedback process. That moment, when we are reminded that research is explicitly collaborative, is always critical and often dreaded. Having received my fair share of feedback over the years, I’ve learned just how important each step of the feedback process is. This goes beyond just receiving feedback, but instead really considering the importance of preparing for feedback too.
As a first-year, Sadat Ahmed—now a sophomore majoring in Electrical and Computer Engineering—returned to a community that had shaped some of his most defining high school experiences. For Sadat, the Muslim Interscholastic Tournament (MIST) had always been more than a competition. It was where he discovered leadership, formed lasting friendships, and learned to believe in his own potential. Coming back as a Software Engineering Intern gave him the chance to reconnect with the program in a new and meaningful way.
I’ll be checking out books from Firestone Library before heading home for winter break.
As another semester draws to a close and winter break looms, now is the perfect time to make a plan for independent work over break. The flexibility of break can give you the freedom to work on your own schedule, but it can also be challenging to keep making progress without the external structure of the semester. Here are a few things that I’m doing before leaving campus to help set me up for thesis writing over the break:
This summer, Princeton sophomore Kyaw Naing returned to his hometown of New York City for a 12-week internship with Amazon’s Grocery Subscription team, an opportunity made possible through the Amazon Future Engineer (AFE) program. AFE is a highly competitive national initiative that aims to support students from underrepresented and underserved communities in STEM, offering college scholarships, mentorship, and paid internships at Amazon. Kyaw was one of only 400 students selected for the program. As an Electrical and Computer Engineering student from Queens, Kyaw saw the internship as a chance to push himself beyond the classroom. During his time with the Grocery Subscription team, he tackled real-world technical challenges at massive scales while working on services that millions of customers rely on every day.
The team owns the whole lifecycle of Grocery Subscription and focuses on building the Amazon Grocery Subscription, enabling customers to subscribe and order groceries. Work on the team involves significant research into sophisticated cloud infrastructure and pipelines and for Kyaw, this was the perfect environment to connect what he learned in his COS classes with real-world practice and research.
Kyaw (front, pink shirt) with his co-workers at Amazon. Photo credit: Kyaw Naing.
With my junior year well underway, I’ve started to do some thinking about everything that comes after you leave the “orange bubble”. As someone whose Princeton experience has been shaped by diverging interests, it’s exciting to imagine applying the unique skillsets I’m gaining to new contexts. Still, whether it’s internships, fellowships, or research projects, nearly every opportunity is guarded by an application process of some kind. While some applications can be relatively simple, many are decidedly complex. Of the many interlocking parts that make up any application process, letters of recommendation represent some of the most critical cogs in the machine. What makes letters of recommendation so important is that they can provide a new perspective on you as an applicant, affirm aspects of your application you’ve already shared, and more fully characterize you as a person. Still, asking for letters of recommendation can create uncertainty.
This summer, Zara Hommez traveled from Princeton to Doha, Qatar, for an internship at the Qatar Computing Research Institute (QCRI), where she worked in the Humanitarian AI division. As a sophomore majoring in Operations Research and Financial Engineering (ORFE), she was drawn to the placement through Princeton’s International Internship Program (IIP) because it offered a rare blend of quantitative modeling, computer vision, and real-world impact, which is the exact intersection she hopes to pursue.
When browsing IIP opportunities, QCRI immediately stood out. Its mission to use data and AI to address global humanitarian challenges aligned perfectly with her academic interests in optimization, systems thinking, and applied machine learning. The chance to live in Doha, a rapidly growing, modern city at the heart of the Middle East, added an exciting cultural dimension she was eager to explore.
“Welcome to SWE23” sign at the Annual Society of Women Engineers National Conference
When I attended my first conference, I was overwhelmed by the number of events—from keynote speakers and lightning talks, to career fairs and research presentations. Over time, through attending several conferences, I learned how to navigate these spaces strategically and make the most of the few days I had at each one. Conferences are an opportunity to connect your academic interests to real-world communities and open doors for future opportunities. From resume databases to poster sessions, conferences can open doors to new research and career opportunities.
