Seasonal Series: Interview with Bjarke Nielsen, EEB/HMEI

Headshot of Dr. Bjarke Frost Nielsen standing in front of a bush.
Bjarke Frost Nielsen, from Denmark, received his PhD in Physics from the Niels Bohr Institute at the University of Copenhagen and is currently a Carlsberg Foundation Research Fellow Postdoctoral Researcher at Princeton in the High Meadows Environmental Institute (HMEI) within the Ecology and Evolutionary Biology (EEB) department. He currently works on using mathematical and computational tools to solve problems in pathogen evolution and infectious disease epidemiology.

Following the seasonal series theme of “Niche vs. Expansive Research Topics”, I interviewed Dr. Bjarke Frost Nielsen on his journey going from a Physics PhD to working in our EEB department and all of the different topics he’s worked on along the way.

Dr. Nielsen shares, “In general, I have a very broad notion of what physics is. I don’t think for something to qualify as physics it has to, you know, involve Newton’s 2nd Law, be describable in terms of the Schrödinger Equation, or something like that. I think that physics is essentially the science that tries to mathematically tackle the aspects of our physical world that can be attacked mathematically. That’s more or less what physics is, right? It’s choosing the areas where you think that a mathematical description can really capture the problem. … It’s a very broad science in that way.”

Read on to learn more about Dr. Nielsen’s reflections on his research background in Physics and current work in EEB.

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Journeying through Statistics & Machine Learning Research: An Interview with Jake Snell

Image of Dr. Snell smiling, wearing glasses and a pale red and grey checkered collared shirt.

Jake Snell is a DataX postdoctoral researcher in the Department of Computer Science at Princeton University, where he develops novel deep learning algorithms by drawing insights from probabilistic models. He is currently serving as a lecturer for SML 310: Research Projects in Data Science.

As I dive deeper into my computer science coursework, I’ve found myself engaging increasingly with statistics and machine learning (hereafter abbreviated as SML). Opportunities to conduct SML research are abound at Princeton: senior theses, junior independent work, research-based courses such as SML 310: Research Projects in Data Science, joining research labs, and much more. There is such a wide variety of research opportunities, and so many nuanced pathways that students can take while exploring SML research. So, for this seasonal series, I wanted to speak with professors and researchers who are more advanced in their research journeys to share their insight and advice to undergraduate students.

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Seasonal Series: An Interview with Eric Ahn

Eric Ahn Headshot
Eric Ahn ’24, from Suwanee, Georgia, is an Operations Research and Financial Engineering (ORFE) major at Princeton University. Ahn is the Class of 2024 Treasurer, as well as a member of Manna Christian Fellowship and Kindred Spirit. This coming summer, Ahn will work as a Trading Intern at IMC Trading before returning to Princeton in the fall to obtain a graduate degree in finance.

In the spirit of upcoming senior thesis deadlines, I wanted to interview a senior currently working on their thesis. As an underclassman that doesn’t have to worry about any form of independent work yet and a COS BSE major, one of the only majors exempt from the senior thesis requirement, I’ve always been curious about the thesis writing process and what a BSE senior thesis entails. As a part of our Seasonal Series, I am excited to present my interview with Eric, as he shares his ORFE senior thesis, his interest in finance, and his advice for rising seniors. 

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Research Insights Series: An Interview with Michael J. Thate

Michael Thate Headshot
Michael J. Thate is a Research Scholar for Responsible Tech, Innovation, and Policy at Princeton University’s Faith & Work Initiative, and Lecturer at the Keller Center for Innovation in Engineering Education and the School of Engineering and Applied Science, with a background in law, design, ethical philosophy and religious studies, and GIS. Michael’s academic interests and focus are informed and complemented by his corporate experience where he advises across STEM industry sectors on matters of brand equity, communication strategy, institutional trust, ethics, and regulatory strategy.

I had come to grapple with the idea of ethics in the engineering world when I became fascinated with Department of Defense (DoD)-related technologies and applying my computer science background to space-related development. I was struggling with the ethics in relation to human ecology, especially in defense and technology militarization, and how to balance this struggle with my fascination for the technologies present in the industry. Michael and I first connected via email over aligned interests in professional codes of conduct in defense and security AI systems. 

As I began this research insights series, I sought to interview Michael in order to get a sense of what his research might look like from a highly interdisciplinary perspective, and how ethics, something that is prevalent in any academic area, is present as a core focus of research. In this article, I’m excited to present my interview with Michael, focusing on human interactions with the natural world, and how to quantify “life” and its “value” within a vast ecological space.

Please note that one response discusses animal injury and death.

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Research Courses at Princeton

Eight students and a lab engineer are wearing white coverall suits while working in a cleanroom.
Group Photo of the AST251 students with Precision Assembly Specialist John Teifert all geared up in the cleanroom!

The structure of a “standard” Princeton course usually includes a mix of lectures, precepts, or seminars which likely have a midterm and final. While some of these courses may have “lab” components where you spend a couple hours once a week doing a hands-on assignment, there exist many courses at Princeton which are instead entirely focused on conducting hands-on, lab-based research with a small team that works closely with professors who provide mentorship as you work on an original research project. If you’ve ever wanted to take a class that is far different from anything else at Princeton by teaching you hands-on skills and giving the opportunity for a new project, these types of courses might be for you!

Some of these courses are year-long sequences like AST250 Space Physics Lab I and AST251 Space Physics Lab II, which I took during the 2022-2023 academic year. This was one of my favorite course experiences at Princeton and was certainly the most engaging. The skills we learned were invaluable, and as we worked closely with the professors and each other, our year-long project became an unforgettable experience.

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A Guide to Citations

Whether writing a paper or providing a presentation, you will often find yourself relying on the completed work of others to synthesize information about a subject. An essential part of using these outside sources is to give their owners rightful credit in your references! Read some tips below on making citations easier. 

Someone reading an article they would reference if they were doing research on the topic
Citations can be the most dreaded section of your writing. Finish your references with ease using this guide! 
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Tips for Recruiting Interviewees: My Qualitative Research on ChatGPT Use in CS Education

Last semester, I interviewed Albert Lee ‘24 to get a glimpse of what conducting qualitative research for sociology Junior Papers can look like at Princeton. (If you’re interested in reading that piece, click here!). Discussing qualitative research with Albert was exciting because his words of advice were quite applicable to the qualitative Computer Science research I was conducting in COS 436: Human-Computer Interaction (HCI).

Image of text, with a question from a student and answer from ChatGPT regarding what the OUR does.

An example user prompt and ChatGPT response.

Prior to taking COS 436, I had little idea of what qualitative research looked like in Computer Science, particularly because many of the CS courses I had taken were quantitative, involving systems, mathematical models, or theory. Taking the course opened my eyes to a whole side of research: interview-based qualitative research. For my semester-long research project, my team and I aimed to dive deeper into educators’ opinions on the use of ChatGPT in CS education.

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Research Insights Series: An Interview with Claire F. Gmachl

Claire F. Gmachl Headshot
Claire F. Gmachl stands at the forefront of groundbreaking research in mid-infrared photonics as the Eugene Higgins Professor of Electrical Engineering at Princeton University and the Head of Whitman College. She also serves as the Associate Chair of the Department of Electrical and Computer Engineering. With her expertise in semiconductor devices and photonics, Professor Gmachl delves into the realms of quantum-cascade lasers and beyond.

As a student surrounded by peers working on their junior papers or senior theses, as well as constantly hearing about groundbreaking faculty research, I came to seek a way to better engage with the research around me, and to synthesize current research and processes to bring insights to others. I decided to create a series of research insights, interviewing faculty and students, to learn more about their research topics, their personal research process and interests, as well as the potential implications from their findings.

In this article, I’m excited to have had the opportunity to interview Professor Claire Gmachl, who has also previously taught me in EGR 151: Foundations of Engineering: Mechanics, Energy, and Waves, the first physics course in the Engineering Sequence. In our interview, Professor Gmachl graciously shared insights into her research journey, shedding light on the multifaceted landscape of mid-infrared photonics and semiconductor devices.

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Getting it Done: Balancing your JP with a Full Course Load

A laptop with a notebook and pen set aside from a coffee mug.

While it may feel like the semester has only just begun, classes are in full swing and, already, junior paper (JP) deadlines are fast approaching. For many majors, the spring semester is where the bulk of the JP work actually takes place. Whether that means writing thousands of words, crunching monstrously large datasets, or debugging hundreds of lines of code, I think we all can agree that a JP draft is better not left to the last minute. 

One of the biggest challenges all Princeton students face with independent work, however, is figuring out where they can even find the time to start. With a full course load, weekly assignments, and a myriad of extracurricular obligations, just when exactly is a student to work on their JP? Read on for three tips on how you can fit your JP into a hectic schedule. With the right daily habits, supports, and mindset, you may even find that you enjoy the process more than the final product. 

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Paid Part-Time Research Jobs At Princeton

Two researchers sitting at a lab desk in the Princeton Neuroscience Institute, looking at MRI brain scans on a computer.
The research you do could be remotely on a computer, in-person working in a lab, or both, as we see here with brain imaging research at the Princeton Neuroscience Institute!

Princeton undergraduate students usually gain most of their research experience from things like independent work, theses, research-based courses, or summer research. However, you might not know that there are more options to do research during the school year: working a part-time job! Some of the most common part-time campus jobs you may think of might be working in a dining hall or at library reception, but you can actually do academic research and get paid for it. This isn’t limited to just STEM majors either; part-time research jobs exist across the humanities and social sciences and are offered by a wide range of departments. You could earn money and get work experience while analyzing literature, writing code, processing data, or working hands-on in a lab!

Here’s a quick guide on how to search for these jobs:

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