About Algoverse
Educating the Next Generation of AI Researchers
By leveraging our deep teaching and research experience from Berkeley and Stanford, we aim to make top-tier AI research and industry-relevant skills more accessible. Our program empowers students to excel in artificial intelligence, equipping them for success in higher education, advanced research, and impactful careers in the tech industry. By providing unparalleled opportunities in AI education, we enhance their prospects for admission to top universities and nurture the future innovators of the field.
Meet Our Team
We are a dedicated team of graduate student researchers from leading AI universities and AI researchers in the industry, with an extensive background in teaching.
Kevin Zhu
Program Director
I began my journey in AI and CS at Berkeley, where I had the privilege of teaching over 3,000 students as a lecturer and Head GSI for CS198-112, specializing in upper-division algorithms.
My career took me through software engineering roles at Palantir and various startups, and into ML research at Citadel, Goldman Sachs, and Berkeley’s RISE Lab. From working on ML applications in the stock market to improving convolutional neural networks, I’ve seen how transformative AI can be - and how the field is constantly evolving.
Today, I’m excited to lead the Algoverse programs, where my focus is making AI research more accessible and harnessing the incredible potential of young individuals. I believe by providing guidance and opportunities, we can inspire the next generation of researchers to explore new frontiers and drive meaningful advancements in AI.
Sean O'Brien
AI Research Director
Sean conducts research on large language models like GPT-4 as a PhD researcher at UCSD. While an AI resident at Meta, he researched language model decoding methods and co-authored Shepherd, a small language model that generates critiques matching the quality of ChatGPT. Previously, at Berkeley AI Research (BAIR), he specialized in transformer architectures for strategy learning.
Sean was also a 7-time GSI at Berkeley, teaching introductory programming, discrete mathematics, and upper-division machine learning, while triple majoring in EECS, math, and cognitive science.
Celine Lee
AI Research Director
Celine is a PhD candidate at Cornell Tech in New York City, where she researches neurosymbolic approaches to language reasoning, especially in coding tasks. Celine has held various research and development roles at IBM TJ Watson, Intel, and VMware.
Her excitement for teaching shows through her TA positions while pursuing her bachelor’s/master’s degrees at the University of Pennsylvania and her PhD at Cornell University; as a head instructor with Break Through Tech AI and through external mentorship programs, Celine continues to give back to and learn from other students.
Read more about Celine at her website: https://celine-lee.github.io/
Andy Chung
AI Research Director
Andy Chung conducts research on large language models as a PhD researcher at the University of Michigan. His research focuses on leveraging large language models to build autonomous agents.
Previously, he worked as a software engineer at Amazon. As the tech lead of Amazon Made for You, featured on TechCrunch, Vogue, CNBC, and other major news outlets, he designed the machine learning architecture and implemented the infrastructure needed to deploy the model at scale in a production environment. Andy received his Bachelors in Computer Science from Georgia Tech.