Immerse yourself in the process of real-world AI research by delving into literature review, developing and implementing your own ML algorithms, communicating your results in a research publication, and submitting research to conferences.
Research Highlights
Explore some of our recent research papers from our students.
More Words from Our Alumni
Pioneering AI for Fairer Healthcare
Under the expert guidance of his mentor Ben, Derek coauthored two impactful research publications aimed at tackling skin-tone bias within the SkinGPT dermatology model.
Both of Derek’s research projects were published in the Journal of Investigative Dermatology, a top journal widely recognized for advanced skin biology and disease research––an exceptional achievement even for medical students applying to residencies. Notably, one of the projects even earned a coveted oral presentation slot—an honor given to just 6% of accepted papers.
“It's a program to really connect and understand the professional world of research.”
Derek Jiu, Sophomore at Houston High School, Fall 2024 Cohort
SkinGPT-4 provides a foundation for fair and customizable skin disease classification models
Accepted to JID 2025
San Diego, CA, USA
Selected for Oral Presentation
Authors: Kiran Nijjer, Ryan Bui, Adnan Ahmed, Derek Jiu, Peter Wang
NeurIPS, OpenAI, Stanford: Ryan's Research Journey
Ryan’s paper "Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting" was accepted to MathAI @ NeurIPS 2024 in Vancouver, Canada. Ryan's research enhances LLM performance by incorporating step-by-step reasoning paths alongside final decisions, resulting in more robust accuracy on complex reasoning benchmarks.
His research was cited by OpenAI's PaperBench, and these achievements helped Ryan secure admission to Stanford University, the University of Pennsylvania, and Caltech.
“The whole experience was simultaneously one of the most fun yet academically enriching of my life, and I feel like it was definitely the culmination of a lot of hard work.”
Ryan Li, Senior at Basis Independent Fremont, Class of 2025
Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting
Accepted to MathAI @ NeurIPS 2024
Vancouver, Canada
Authors: Tim Knappe, Ryan Li, Ayush Chauhan, Kaylee Chhua
"My primary research project focused on analyzing and mitigating skin-tone bias in skin disease recognition and large language models. Thanks to my amazing mentor, Ben, & the program director, Kevin, the learning process for researching & developing my projects was taxing but never burdensome. Mentors will go out of their way to support your academic & career aspirations, even if not necessarily related to the active research project. Before Algoverse, I knew nothing about AI development. Now, I feel fully comfortable developing & training AI models. Additionally, I had no prior research experience. I feel more comfortable with academic writing & applying standard scientific methodology for research. Both of these skills are highly relevant to my goals in pursuing doctoral studies & they’ve also helped me solidify my particular research interests. The focus of the program is gaining an authorship & research paper but I feel that I found most career value when speaking to the amazing team behind the program. There is a wealth of knowledge here and everyone is super helpful!"
Ryan Bui, Junior, Applied Mathematics at UC Irvine
"As a freshman in data science, I wanted to get into both AI/ML in general and also research. I wanted to learn as much as possible, but as a first year it was hard to get many opportunities so I joined Algoverse to get experience and knowledge! In my research project, we are using deep learning methods to do group surgery video analysis. I've learned so much about the research timeline and collaboration. My team is great, fortunately we are all active and working together. Our mentor is also really good! He sets a good example for us to follow as a researcher and he's also very knowledgeable. Algoverse has given me a good start in AI research. I now know a lot of the concepts that come with doing research in this sort of field and I understand the timeline and what an entire ML/AI project could look like. It's also a good project that I bring up in interviews!"
Philip Chen, Freshman, Data Science at University of California, San Diego
"Prior to Algoverse, I've mostly dabbled in web development. With the rise of AI in recent years, I wanted to educate myself on the topic and be able to incorporate it in my work to ride along with the changes in the tech world. I've always been curious about how our brains, our intelligence come together, so the topic of recreating interests me very much. I joined Algoverse because I wanted to challenge myself, in terms of learning, working with strangers, and conducting formal research, which I was new to. What you get at Algoverse here that you cannot on your own, is a team of experienced mentors that are dedicated to assisting you. Our team successfully put in two separate submissions to ACS Clinical Congress. They're all equally as determined and passionate about the work as I am, if not more. Our project has given me many chances to push beyond my comfort zone, learn new things, work in a more professional setting, and learn from my mentor and peers. Beyond technical skills and soft skills, my mentor was able to provide solid advice and support regarding topics not directly related to Algoverse, such as personal time management and managing stress which I've been having trouble with. Overall, I'm very grateful that I was able to meet these amazing people in pursuit of our research project."
Leia Chen, Sophomore, Computer Science at University of British Columbia
"I'm a college student majoring in Computer Science, and I've been coding since the start of high school. While I've worked with AI through classes and a prior research internship, I joined Algoverse so I could work through a full research project from start to finish while contributing to all parts of the process. To come up with a research idea, my team and I did deep reads of several LLM-related research papers, and we identified a gap in terms of lightweight solutions to the lost-in-the-middle problem. The Algoverse team, including our team mentor and the program administrators, created a great working environment where we could ask questions and learn about our topic in detail. I especially appreciated the quick feedback and advice from the mentors throughout the process, particularly when there was a specific code-related issue blocking our progress. Ultimately, our paper was accepted to the 2025 NAACL SRW, making the project a success. After this experience, I feel confident in my ability to work with AI and complete research projects successfully."
Namit A., College Student
"The Algoverse AI Research program is a great experience for students of all levels, whether you're a complete newbie or a advanced researcher. Algoverse will give you true hands on experience in the field with fantastic mentors that guide you every step of the way. It's a level of support that all other programs should strive for. Algoverse empowers you to confidently step into the world of research, equipping you with the skills to conduct studies, and translate your findings into a cohesive research paper. Beyond the skills and knowledge I gained, I built long lasting connections, ones that I know will continue to support me as I go on to make impactful changes in the AI field."
Alexander Le, Freshman, Foothill College
"The Algoverse AI Research program exceeded my expectations. The intensive, hands-on lectures, world-class instructor and mentor, and brilliant teammates enabled me to gain invaluable AI research skills I never imagined possible. More than the coding expertise or publishing a paper, the creativity and resilience I built are what I truly cherish. Through late nights coding together, I made many close friends while realizing my dream of impactful AI contributions."
Ayush C, Grade 12, St. Teresa School
"Algoverse AI Research Program was AWESOME! The flow of the program from learning about the basics of LLM to critically thinking a real research idea and then implementing it was the most impressive part of the research program. The level of one-to-one support provided by mentors during the entire program was something I felt special about. It's an absolute 10/10 experience."
Yubraj P., Grade 12, Global College International
"The AI Research program taught me so many valuable skills about large language models, conducting research, and writing and developing papers that I know will be super useful in college. At the beginning of the semester, I never thought I had the capabilities to do high level research since it seemed so over my head at the time. But Kevin and Sean were there to help our group, answer questions at pretty much any hour of the day, and offer expert guidance, advice, and mentorship that helped us produce tangible results! This was so much fun, thanks Kevin and Sean!"
Megan V., Grade 12, Helotes, Texas
"This program was absolutely amazing! I came in not knowing a thing about LLMs and AI, and through the incredibly helpful lectures and help throughout my research progress, I gained incredibly valuable information and definitely learned a lot."
Kerry L., Grade 10, Cary, North Carolina
"As a participant in the Algoverse Research Program, I had a really positive experience. The teaching style was well-structured, balancing theory and practice. I appreciated the depth of knowledge imparted and the practical skills I acquired. Overall, my time in the program was a valuable period of learning and growth, helping me to get into the field of research.
Tim K., Grade 12, Germany