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The premier research program for ambitious high school students to co-author papers at venues like NeurIPS, ICML, and ACL — mentored by PhDs and professors from leading institutions.
Begin Your Application
Summer deadline: Sunday, April 19 @ 11:59pm PT
Begin Your Application
Summer deadline: Sunday, April 19 @ 11:59pm PT
76.5%
of identified high school authors at NeurIPS 2025 were Algoverse alumni
80.4%
Workshop Authors
111 of 138 accepted high school workshop authors attended Algoverse
0.4%
Overall High School Representation
Only 144 of 33,193 accepted NeurIPS authors were high schoolers
NeurIPS 2025 · Based on OpenReview and camera-ready data
Student Spotlights
Hear from students who have published research through our program.

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.

Max Manolov
Admitted to Stanford University
“Algoverse taught me how to turn a research idea into something publishable. From designing a benchmark to writing results that hold up to peer review, my work made a meaningful contribution to the field. It gave me the foundation I needed to pursue research at Stanford.”
Through Algoverse, Max designed a benchmark and wrote up peer-review-ready results, building the research foundation he needed to pursue research at Stanford.

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.

Anna Deng
Admitted to MIT
“Participating in Algoverse helped me actionably explore the current and future state of artificial intelligence, giving me the mentorship and resources to learn through actually doing a research project. My experiences in the program have helped me with figuring out many things in my life, from passion projects to career choices, shaping the mindset which helped me get into MIT.”
Anna's research on using semantic entropy probes to detect unreliable LLM-as-a-Judge evaluations was accepted to the BlackboxNLP Workshop at EMNLP 2025. Her Algoverse experience contributed to her admission to MIT.

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.

Anna Deng
Admitted to MIT
“Participating in Algoverse helped me actionably explore the current and future state of artificial intelligence, giving me the mentorship and resources to learn through actually doing a research project. My experiences in the program have helped me with figuring out many things in my life, from passion projects to career choices, shaping the mindset which helped me get into MIT.”
Anna's research on using semantic entropy probes to detect unreliable LLM-as-a-Judge evaluations was accepted to the BlackboxNLP Workshop at EMNLP 2025. Her Algoverse experience contributed to her admission to MIT.

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.
87%
of Algoverse seniors who published at a top AI conference were accepted to a T10 university
'24–'25 Alumni University Placements
Tracking the academic trajectories of Algoverse researchers










University Admissions
Selected admissions offers from alumni after completing Algoverse research projects.

Anna D
Algoverse project: SCOPE: Semantic Entropy Probes for LLM-as-a-Judge
Subsequent offer: MIT

Veronica Shao
Algoverse project:
Subsequent offer: CMU

Pranav Siddineni
Algoverse project: Multimodal Graph Convolutional Networks for Action Recognition in the Operating Room
Subsequent offer: Caltech

Matthew Li
Algoverse project:
Subsequent offer: CMU

Joshua Liu
Algoverse project:
Subsequent offer: CMU

Michael Li
Algoverse project:
Subsequent offer: CMU

Rajat Rawat
Algoverse project:
Subsequent offer: UC Berkeley

Max Manolov
Subsequent offer: Stanford

Gary Sun
Algoverse project:
Subsequent offer: UC Berkeley

Ryan Li
Algoverse project:
Subsequent offer: Stanford

Sundesh Donthi
Algoverse project:
Subsequent offer: Georgia Tech

Olivia Holmberg
Algoverse project:
Subsequent offer: Brown

Anish Neema
Algoverse project:
Subsequent offer: Georgia Tech

Santiago Torres-Garcia
Algoverse project:
Subsequent offer: UC Berkeley

William T
Algoverse project:
Subsequent offer: Stanford

Osama Radi
Algoverse project:
Subsequent offer: Yale
Our LinkedIn Community
Students and mentors sharing their research journeys, conference experiences, and career milestones.






























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Begin Your Journey
The application takes 5 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.

