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
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
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.
Distinguished faculty and industry professionals who guide our scholars through cutting-edge research methodologies.
Countries represented in our research community, reflecting our commitment to diversity and global collaboration.
Our LinkedIn Community
Students and mentors sharing their research journeys, conference experiences, and career milestones.
Gallery
Student Spotlights
Hear from students who have published research through our program and gone on to top universities and research labs.
Avigya Paudel
Generation Google Scholar ($10,000)
“I just got accepted to the Generational Google Scholarship. It's a really prestigious scholarship providing $10,000 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!”
Avigya was selected for the Generation Google Scholarship, a prestigious $10,000 award for CS students with demonstrated leadership. Their research at Algoverse was accepted to the NeurIPS Mechanistic Interpretability Workshop.
Zili Shen
Hired as Intern at p1.ai
“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.”
Zili was hired as an intern at p1.ai through a connection she made with a mentor at Algoverse.
James Begin
Hired as ML Intern at Alphapoint
“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.”
James worked on improving long context performance by inserting pause tokens into context, aiming to redistribute attention across the entire context.
Olivia Holmberg
Accepted to Brown University
“It was such a phenomenal and life-changing experience… and really solidified my interest in going into AI research in the future.”
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.
McNair Shah
Selected for the Anthropic 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!”
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.
Srivishnu Ramamurthi
Hired at OpenAI (Software Engineer)
“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.”
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.
Sam Mikhak
Admitted to Columbia (Transfer)
“Algoverse gave me a rare opportunity to pursue my own research interests while taking full ownership of the process. I was able to lead my work independently, with guidance from industry professionals and PhD mentors who helped refine my direction and approach. My research focused on matrix product operator (MPO) based neural network compression, which aligned closely with my interest in building efficient machine learning systems. This work resulted in a publication and opened opportunities that would not have otherwise been available to me.”
Sam's research on matrix product operator (MPO) based neural network compression was accepted to an ICLR workshop. He subsequently transferred from community college to Columbia University.
Ryan Li
Admitted to Stanford University
“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.”
Through Algoverse, Ryan earned a NeurIPS workshop acceptance, was featured by OpenAI, and was admitted to Stanford.
Santiago Torres-Garcia
Admitted to UC Berkeley (Transfer)
“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.”
Santiago highlighted his Algoverse research accepted at an ACL workshop in his UC Berkeley transfer application from community college.
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
“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.”
Daniel is an Assistant Professor at UNC-Chapel Hill who has co-mentored Algoverse students to publish at prestigious AI safety conferences.
Kellin Pelrine
Member of Technical Staff, FAR.AI
“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!”
Kellin is a Member of Technical Staff at FAR.AI who has guided Algoverse mentees to explore new research directions in AI safety.
Diogo Cruz
AI Evaluations Researcher, Independent
“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.”
Diogo is an independent AI Evaluations Researcher who has mentored Algoverse students from fundamentals to original research.
Begin Your Journey
The application takes 10 minutes and is reviewed on a rolling basis. We look for strong technical signal—projects, coursework, or competition results—and a genuine curiosity to do real research.
If admitted, you will join a structured pipeline with direct mentorship to take your work from ideation to top conference submission at venues like NeurIPS, ACL, and EMNLP.
