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

Posted on by Alexis Wu

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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Tips for Recruiting Interviewees: My Qualitative Research on ChatGPT Use in CS Education

Posted on by Alexis Wu

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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HCI is for Everyone: A Glimpse into Princeton’s Human-Computer Interaction Reading List

Posted on by Alexis Wu

Monochrome split screen image of the Mother of All Demos, screenshotted from the Control Devices section

From left to right: Three control devices (a special keyset, a standard keyboard, and a mouse). Photo credits: The Doug Engelbart Institute.

This semester, I’m taking COS 436: Human-Computer Interaction, taught by Professor Andrés Monroy-Hernández and Professor Parastoo Abtahi. The course explores foundational theories and current research in the field of Human-Computer Interaction (HCI), focusing on interactive and social computing across diverse domains like artificial intelligence, augmented and virtual reality (AR/VR), accessibility, information visualization, and human-robot interaction. 

As the semester comes to a close, I reflect on how the readings shaped my understanding of HCI and technology more broadly. I found that the readings move beyond just the HCI classroom, offering profound insights on how technology shapes our lives and the importance of design considerations in emerging technologies. Given their value for even those who have no background in computer science, here are three readings I found particularly exciting.

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A Budding Field: Finding Opportunities in Psychedelic Research

Posted on by Amaya Dressler

The logo for the Princeton Science of Psychedelics Club. A large three-dimensional ring with blue radiating ovals.
The logo for Princeton’s Science of Psychedelics Club (PSPC), a student-lead organization seeking to educate students about psychedelics, discuss current trends in psychedelic research, and provide opportunities to other students interested in pursuing psychedelic research. If interested in joining, contact PSPC@princeton.edu or President Camilla Strauss ’23 for more information.

One goal for any budding researcher is to see their work have a tangible public impact. But, with endless hours spent in a lab or hunched over a computer, there are times where research can feel abstract or removed from reality. Neuroscience, in particular, faces this stereotype. True, many (including myself) believe that neuroscience holds the key to understanding our conscience and, by extension, our modern predicament. But the question remains: where can an aspiring neuroscientist find the life-altering research they seek?

Ironically, the answer might just lie in reality-altering substances. From neuroscience to public policy, psychedelics is a budding topic across many different fields of research. While Princeton itself is yet to enter the field, the Princeton Science of Psychedelics Club (PSPC) serves as the hub for all students interested in this emerging field. I sat down with PSPC and senior Neuroscience Major President Camilla Strauss to talk about how students interested in psychedelics research could learn more. 

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Independent Work Seminars as a COS BSE Student: An Interview with Shannon Heh ‘23

Posted on by Alexis Wu

Image of Shannon Heh '23

Shannon Heh ’23 is currently Co-President of TigerApps, a member of KoKoPops dance team, and a member of Colonial Club

At Princeton, B.S.E.* computer science students are required to complete at least one semester of independent work (IW) during their junior or senior year. Students may either take an IW seminar, where a small group of students work on larger projects under a given theme, or a one-on-one IW, where students work and meet with their advisers independently.

Seminars had weekly meetings and provided more structure for students than a typical one-on-one project would; students were asked to choose their project ideas early and received valuable feedback through presenting and having their ideas workshopped by their peers in the seminar.

I met with Shannon Heh ‘23, a senior in the Computer Science department, to discuss her experience in an independent work seminar. Spring of her junior year, Shannon took COS IW 09: You Be the Prof, advised by Professor David Walker. Students were to produce a web-based platform, app, or tool to aid in teaching a particular topic, skill, or concept.

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Your New Favorite (Free) Online Resource

Posted on by Rafi Lehmann

Have you ever wanted to learn how to use Photoshop? How to write code in multiple programming languages? How to use Excel? InDesign? Adobe Illustrator?

My new favorite online resource.

This semester, as part of my Urban Studies Certificate, I’m taking ARC 205, an interdisciplinary architectural design studio. Like most studio classes, we meet for six hours a week to develop our drawing, design, and analysis skills. Each week our instructors present us with a new drawing assignment designed to improve our architectural analysis skills. Pretty much everything we’re learning in this class is totally new to me. I’ve never really drawn – aside from doodles on my notes – and most of our assignments are far outside of my comfort zone. There hasn’t yet been a week when I’ve felt confident about my work, but in the past week, I’ve discovered a resource that might change that.

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Mapping the Stars: An Interview with Reilly Bova ’20

Posted on by Alexandra Koskosidis

Reilly Bova ’20 is a Bachelor of Science and Engineering (B.S.E) Computer Science (COS) major with a strong interest in Physics. He spent this past summer conducting research in Princeton’s Physics department. His work included the visualization of deep universe galaxy clusters.

A snapshot from Reilly’s work of the Cosmic Microwave Background projected onto the edge of the observable universe.

Reilly took data on some of the oldest and farthest discovered galaxies (several billion light-years away) and mapped them onto a computational model of the observable universe. He also added to the visualization extremely precise maps of the Cosmic Microwave Background (CMB), which is radiation from about 380,000 years after the Big Bang. Right after the Big Bang, the universe was so hot that nothing—not even photons—could travel unimpeded, which rendered the universe opaque. Around year 380,000, the universe had cooled enough that neutral atoms could form, rendering it transparent (i.e., photons could now travel through it) and releasing an enormous amount of energy which we now call the CMB. This Cosmic Microwave Background has been traveling through the universe for billions of years. As the universe expands, the wavelength of the CMB radiation lengthens (i.e., “redshifts”). We can generate a map of what the universe looked like very early in its life by measuring  these redshifts.

I recently had the exciting opportunity to interview Reilly and find out more about his research experience.

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Celebrating Senior Theses: An Interview with Xuewei Ouyang’17

Posted on by Taylor Griffith

In our spring series, Senior Theses: A Celebration, we take a moment in the interlude between thesis deadlines and graduation to appreciate the diverse, personal, and impactful work of seniors’ capstone research projects.

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Xuewei Ouyang, a senior from New Jersey

Xuewei Ouyang is a senior in the Computer Science Department. For her thesis, she combined her passion for dance and her knowledge of coding to create an app called, ChoreoSpot. Here’s what she had to say about her work:

What is your thesis about?

In short, my thesis is about creating an app that takes a rehearsal video and, within various frames of the video, spots errors on the dancers’ bodies in comparison to the choreographer’s.

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