Princeton and research go together so well they can almost feel synonymous. From the first-year writing seminar to the Junior Paper two years later, core milestones in the Princeton experience are research experiences. Every step of the academic journey undergraduates undergo feels as though it’s building up to the ever-looming thesis. However, nestled between Writing Sem and the JP is sophomore year, when students pursuing AB degrees declare their major. It’s a time to explore diverse courses and meet new faculty, an opportunity to engage with Princeton as the liberal arts institution it is. Often in the process it can be easy to forget about the role research plays in the experience of a major. As someone who needed until Declaration Day to decide his major, considering potential future experiences with research was crucial in my decision to declare Anthropology on the Medical track. With Dec. Day on the horizon again, I wanted to share some of the thinking that was useful for my decision-making process.
Continue reading Let Research Help Guide Your Major DecisionsTiny Models, Big Impact: Erika Yeung’s Work in Edge AI
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.
Continue reading Tiny Models, Big Impact: Erika Yeung’s Work in Edge AINavigating Research with Disability: An Interview with ODS

I have a physical disability, and when I entered Princeton, independent research was something that really daunted me. I have been surprised to find that independent research has been very accessible to me because of the flexibility and control it has given me over my work. Two years ago, I started an archival research project right after a surgery, which put increased limits on my ability. Since the project was self-managed, I was able to schedule archival research appointments around physical therapy appointments. I also received simple accommodations in the archive, like archivists moving boxes for me to support my limitations post-surgery.
That said, disability is diverse, as are research methodologies. Accommodations and approaches to research look different based on the kind of disability you have and the kinds of questions you want to answer. I spoke with Asha Nambiar, the director of Princeton’s Office of Disability Services (ODS), to gather advice on getting involved with research as a student with a disability.
Continue reading Navigating Research with Disability: An Interview with ODS“With Focus Comes Depth, and with Depth Comes Complexity”
As I wrapped up the first of my two independent junior research papers and began brainstorming for the second (and much larger) one, I hit a familiar wall: too much possibility, with no clear direction.
This next paper is supposed to be around 30 pages. The topic is broad. My notes are abundant and scattered. Every passage and source I consider seems to open a new direction I could take. In theory, this is a researcher’s dream – I have abundant evidence, rich material, and intellectual freedom. In practice though, it can feel paralyzing. What is even relevant? How do I start this? What am I actually trying to say?
My high school English teacher gave me the most useful writing advice I’ve ever heard: “With focus comes depth, and with depth comes complexity.”
Continue reading “With Focus Comes Depth, and with Depth Comes Complexity”Congrats, You Got Accepted: Now What?

Getting accepted to a conference can feel like the end of a long marathon. After months of conducting research and several iterations of writing, you hit submit, you wait, and you refresh your inbox until finally, the email arrives. You’ve been accepted! Now, you have the opportunity to poster at a conference and share your work with a broader research community.
First of all, congratulations! It is no small feat to get your work reviewed and accepted, and you should be very proud of your accomplishments.
After the excitement and the celebration, you might be wondering what comes next. Acceptance is not just a milestone, but also the beginning of a series of steps to actually poster at a conference. It’s now time to finalize your submission for publication, decide how you will attend, and determine how you will present your research. I hope this practical guide helps you navigate the steps after acceptance.
Continue reading Congrats, You Got Accepted: Now What?Dealing with Feedback

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.
Continue reading Dealing with FeedbackOf Mistakes and Bullies in the Lab
Everyone knows the old mantras: “don’t be too harsh on yourself” and “everyone makes mistakes.” When I joined a lab, though, not only were those mantras pushed to the back of my head, but they also collected dust and withered. In a lab setting, when you are aware of the money and effort other people have put into the research, and when you sometimes feel less skilled as an undergrad, your mistakes can feel like grave failures.
Continue reading Of Mistakes and Bullies in the LabResearch in the Humanities and Social Sciences: Sophomore Research Seminars
First-year writing seminars are a rite of passage for all Princeton students, introducing you to the research and writing skills you need to craft an independent research paper. But what comes next? For many undergraduates, sophomore year is a year-long pause before you actually get to apply those independent research skills in your JP. The Princeton Writing Program’s sophomore research seminars offer an alternative.
Continue reading Research in the Humanities and Social Sciences: Sophomore Research SeminarsGrowing Up in the Same Lab

After the first meeting of the semester with my adviser, whom I’ve been working with since my first-year spring, I looked at the list of papers I had to read for my junior independent work but chose to open the small birthday card my adviser gave me on behalf of the lab. Seeing everyone’s “Happy Birthday” made me feel, more than ever before, like I belonged.
And I was growing up.
I was energized, ready to take on a new responsibility. Since the conversation I had with my PI over the summer, I had been excited to get started. Coming into Princeton interested in memory and potential ways to manipulate unwanted or negative ones, getting to use eye trackers to exert top-down control over what people look at and induce forgetting by weakening the activation of the related pathways based on the eye gaze pattern seemed like a sci-fi movie coming to life. I couldn’t wait to feel ownership over my own project and contribute to the kind of work my lab cares so much about.
After two years, I started to feel like I was equipped to excel on all fronts at Princeton.
But reality… hit.
Continue reading Growing Up in the Same LabYou Don’t Have to Be an Expert to Start Research

Last semester, as a sophomore in the Electrical and Computer Engineering Department, I completed my first independent research project as part of the Sophomore Independent Work (ECE 298) with Swan Labs, a lab that works on next-generation wireless systems by combining electromagnetics, signal processing, and system-level design to build fast, intelligent, secure, and adaptable wireless technologies. While I had done research in high school before, this was my first time engaging in research within a truly structured academic setting. The experience felt fundamentally different from anything I had done previously, and it reshaped how I understand what research really means.
Continue reading You Don’t Have to Be an Expert to Start Research





