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Spring Deadline: Sunday, February 15 at 11:59 pm PT. Click here to apply.

Our Research Community

Join a global network of researchers, mentors, and alumni dedicated to advancing the frontiers of artificial intelligence and machine learning.

Beyond the Program

Beyond the Program

Lab Opportunities, Internships, Recommendation Letters

Our commitment to our scholars extends far beyond the research program. We actively support career development through personalized recommendation letters, connections to leading AI labs and industry internships, and ongoing mentorship. Many of our alumni have secured positions at top research institutions and companies, building on the foundation they established at Algoverse.

The Algoverse Research Network

The Foundation of Future Academic Leadership

400+Alumni Discord Community

Algoverse scholars active in our alumni Discord — a global community of driven students and mentors supporting one another with internships and early-career roles, university admissions guidance, referrals, and collaborations.

350+Expert Faculty and Mentors

Distinguished faculty and industry professionals who guide our scholars through cutting-edge research methodologies.

80+Global Representation

Countries represented in our research community, reflecting our commitment to diversity and global collaboration.

Student Spotlights

Hear from students who have published research through our program and gone on to top universities and research labs.

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Avigya Paudel

Generation Google Scholar ($10,000)

Avigya Paudel

Avigya was selected for the Generation Google Scholarship, a prestigious $10,000 award for CS students with demonstrated leadership. Her research at Algoverse was accepted to the NeurIPS Mechanistic Interpretability Workshop.

I just got accepted to the Generational Google Scholarship. It's a really prestigious scholarship providing 10000 dollars awarded to CS students with demonstrated leadership. My main essay was about all of my research experience in Algoverse!! Thank you so much, Kevin. This would not have been possible without you!

Zili Shen

Hired as Intern at p1.ai

Zili Shen

Zili was hired as an intern at p1.ai through a connection she made with a mentor at Algoverse.

The Algoverse Research Fellowship was pivotal for my transition from academia to AI evaluation work. I had access to not only great mentors and teammates but also new connections and opportunities in the field.

James Begin

Long Context Performance Research

James Begin

James worked on improving long context performance by inserting pause tokens into context, aiming to redistribute attention across the entire context.

Our topic was about improving long context performance by inserting pause tokens into context, aiming to redistribute attention across the entire context. Working with my team was great. Everyone was eager to learn and work, and the mentors were available everyday to answer our questions and give feedback. I think this experience has definitely helped jumpstart my career. Looking for summer internships and getting interviews was much easier with research on my resume.

Olivia Holmberg

NeurIPS 2024 Workshop Presentation

Olivia Holmberg

Olivia's team developed a new approach to make computer vision models faster and more efficient without sacrificing performance. Their project, "QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models", was selected for presentation at the Machine Learning and Compression Workshop at NeurIPS 2024 in Vancouver, Canada.

It was such a phenomenal and life-changing experience… and really solidified my interest in going into AI research in the future.

Srivishnu Ramamurthi

Hired at OpenAI (Software Engineer)

Srivishnu Ramamurthi

Srivishnu's Algoverse research was accepted to the NeurIPS 2025 Efficient Reasoning Workshop, helping strengthen the track record that led to his full-time software engineer offer from OpenAI.

Algoverse provided the technical foundations I was missing and the "hidden" knowledge around how research actually works — which conferences matter, how peer review works, and how to meet real research standards. It gave me the structure to take my first steps as a researcher.

McNair Shah

Selected for the Anthropic Fellowship

McNair Shah

McNair's AI safety research at Algoverse was accepted to the NeurIPS 2025 Mechanistic Interpretability Workshop, contributing to his selection for the Anthropic AI Safety Fellowship.

Algoverse is a great program; the mentors and many of the students in it are incredibly talented. Kevin Zhu is a great program director who's been able to make the program an actual incubator for future researchers that is starkly different from a lot of other programs!

Ryan Li

Admitted to Stanford University

Ryan Li

Through Algoverse, Ryan earned a NeurIPS workshop acceptance, was featured by OpenAI, and was admitted to Stanford.

The lectures, notebooks, and mentorship were actual industry-level quality, and really put into perspective how legit research looks compared to my old stuff. I feel way more confident about paper-reading, writing, and running actual experiments after all this, and seeing the paper finally get accepted was super rewarding… The program was genuinely the highest ROI thing I've done in my entire high school career.

Santiago Torres-Garcia

Admitted to UC Berkeley (Transfer)

Santiago Torres-Garcia

Santiago highlighted his Algoverse research accepted at an ACL workshop in his UC Berkeley transfer application from community college.

Algoverse offered an incredible opportunity minimally available to community college students. The research experience I gained strengthened my UC application, contributing to my acceptance into UC Berkeley's EECS program as a transfer student, a lifelong dream of mine. Our paper was accepted into ACL's REALM'25 Workshop, a prestigious peer-reviewed venue in the field of NLP. This will help me stand out as I pursue research roles, internships, and job opportunities.

Mentor Spotlights

Our mentors bring expertise from leading universities and AI labs, providing world-class guidance to aspiring researchers.

Daniel Herrmann

Assistant Professor, UNC-Chapel Hill

Daniel Herrmann

Daniel is an Assistant Professor at UNC-Chapel Hill who has co-mentored Algoverse students to publish at prestigious AI safety conferences.

My co-mentor and I recently had a paper accepted at the International Association for Safe and Ethical AI Conference, and I can confidently say we would not have submitted it without Algoverse. The program helped us turn a large abstract idea into something concrete, and the mentees we were matched with were excellent.

Kellin Pelrine

Member of Technical Staff, FAR.AI

Kellin Pelrine

Kellin is a Member of Technical Staff at FAR.AI who has guided Algoverse mentees to explore new research directions in AI safety.

Algoverse mentees helped me explore a new research direction on unprompted persuasion risks. The work we did will be presented as an oral at the AIGOV workshop at AAAI, and my team is now building on it further!

Diogo Cruz

AI Evaluations Researcher, Independent

Diogo Cruz

Diogo is an independent AI Evaluations Researcher who has mentored Algoverse students from fundamentals to original research.

It was rewarding to see my team go from learning the basics to producing original research on agent evaluations. Algoverse makes that progression possible in a short time.

Student giving presentation

Gallery

Algoverse researchers at EMNLP 2024
Student presenting research poster
Research workshop session
Students presenting Transformer Circuits research poster
Students presenting Pause-Tuning research poster
Students presenting Sarcasm Detection research at ISEF
Students presenting Idiomatic Translation research poster
Students presenting Gaming the Answer Matcher research at AAAI
Student presenting Vision Models research poster
Algoverse team at conference

Begin Your Journey

Apply in one step. The application is straightforward and takes about 10 minutes. We review submissions on a rolling basis and reach out quickly if there's a fit.

We look for clear signals of technical ability (projects, coursework, competitions, or strong research curiosity), high agency and follow-through, and a genuine curiosity to do real research.

If you're ready to ship experiments and iterate fast, you'll thrive here. If admitted, you'll join a structured research pipeline with mentorship that keeps progress moving from ideation → implementation → conference submission.