A world-class program for middle and high schoolers. Work 1:1 with Ph.D. mentors to build original AI solutions for global challenges.
We do not believe in cookie-cutter projects. Our program connects students with industry-leading mentors to explore their unique interests - whether it is climate tech, healthcare, or social justice - through the lens of cutting-edge AI.
Direct guidance from Ph.D. experts in your chosen field.
From initial hypothesis to global publication.
Build custom datasets for real-world reliability.
Leverage Transformers, CNNs, and LLM fine-tuning.
We maintain the highest standards of research integrity, preparing students for the demands of university-level scholarship.
Training in scientific method and structured problem-solving before any code is written.
Mandatory training on bias, ethics, and the transparent usage of generative AI tools.
Mastery of APA and MLA formats and navigating academic databases like JSTOR and arXiv.
All papers undergo strict plagiarism and AI-generation checks before submission.
“AIClub's students demonstrate a level of technical depth and scientific curiosity that we rarely see outside of graduate-level research programs.”
Our alumni have successfully entered the world's most prestigious universities, leveraging their research portfolios for a competitive edge.
Exceptional work from our recent cohorts.
The pandemic directly affected the way businesses operate, threatening many people's livelihoods. Team MDS created an iPhone app that businesses and individuals can use to measure the CO2 levels around them, helping them reopen businesses more safely.
Projects to tackle the issue of the prominent threat of climate change are rising. This project uses AI to detect and measure greenhouse gases more effectively.
AI in combination with the fine arts can produce unique and interesting innovations. This student trained her AI to understand and teach ballet to students. It is a great option for aspiring students who may not find ballet lessons accessible or affordable.
Alzheimer's is one of the top 10 causes of death in the United States and is currently incurable. This student created an app where a user can insert an MRI image and the AI predicts Alzheimer’s risk from low to high, supporting earlier diagnosis.
This project tackles the challenge of early wildfire detection by creating an AI tool that can recognize smoke in wilderness photos. By analyzing images from trail cameras and citizens, the system aims to provide faster alerts and reduce wildfire damage.
This project aims to speed up cancer treatment discovery by using advanced AI tools to find new drugs that can block GLS-1, a key protein linked to cancer growth.
No templates. No presets. We build a curriculum around your specific hypothesis and interests, ensuring your research is truly yours.
Publish in professional-grade scientific journals and present at international conferences.
We teach you the AI and research methodology from scratch, regardless of your starting point.
Our 1:1 sessions are designed to fit around busy school schedules and extracurriculars.
Our students regularly publish in elite industry journals. Each project includes formal training in academic writing, peer review, and presentation.
Sahana Srinivasan, Chaya Ravindra
Saanvi Bhosekar.
Prisha Arora
Students earn honors from the most prestigious science fairs and innovation competitions.
Feb 2025Gurman Goraya
Journal of Student Research
Feb 2025Manvik Pasula and Atul Dubey
Journal of Emerging Investigators
Oct 2024Clarisse Cheung and Sindhu Ghanta
Journal of Emerging Investigators
Our structured 1:1 workflow ensures every student masters the foundational concepts before jumping into complex modeling.
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Founder & AI Systems Pioneer
Nisha Talagala is the CEO and founder of AIClub. Nisha co-founded ParallelM which pioneered the MLOps practice of managing machine learning in production. Nisha is a recognized leader in the operational ML space with more than 20 years of expertise in software development, distributed systems, technical strategy and product leadership. Nisha earned her PhD at UC Berkeley where she did research on clusters and distributed systems. Nisha co-chairs the annual conference on production machine learning (OpML). Nisha holds 68 patents in distributed systems and software, is a frequent speaker at industry and academic events, and is a contributing writer to Forbes Online/Cognitive World and other publications.
Head of Products, Pyxeda.ai
Amit Gupta is the Head of Products at AIClub. Amit has 20+ years of expertise in large-scale distributed systems design and development, and he was previously co-founder and CTO at Andale and Jasper. He holds a Ph.D. from the University of California at Berkeley, and has 50+ patents covering various aspects of Computer Networking, Distributed Systems, and Security.
Head of Machine Learning, Pyxeda.ai
Sindhu Ghanta received her M.S. degree from Texas Tech University in 2010 and her Ph.D. degree in electrical and computer engineering from Northeastern University, Boston, USA. She was a Post-Doctoral Fellow with BIDMC and the Department of Pathology, Harvard Medical School, where she was involved in detection and classification of features from histopathological images. She worked as a research scientist with Parallel Machines on monitoring the health of ML algorithms in production and has many publications on ML innovations. She currently works as the Head of Machine Learning at AIClub.
Swaminathan (Swami) Sundararaman is the CTO and co-founder at Pyxeda.ai. Swami is a leader in operational machine learning, edge computing, distributed systems and storage systems. He has 10+ years of expertise in software development and machine learning. Swami holds a Ph.D. from the University of Wisconsin-Madison, and has 30+ patents in Distributed Systems, Operating Systems, Non-Volatile Memory, and storage systems. Swami co-founded the OpML and HotEdge conferences that foster upcoming innovations in operationalizing ML/DL models in production and edge computing, respectively. He serves on the steering committee and program committees of multiple technical conferences.
Venkata Duvvuri is currently a Director of Data Science at Oracle Corporation and an adjunct faculty member at Northeastern University, where he teaches data analytics and machine learning. He is a results-oriented leader in data science, business analytics, digital media analytics, and web marketing optimization, with over 10 years of experience in these fields, in addition to 10 years of software engineering experience. He has held leadership roles ranging from Director to Manager at Fortune 100 companies, including marketing agencies, and has successfully managed both onshore and offshore teams. As a cross-functional leader and subject matter expert in machine learning, he has driven multimillion-dollar improvements in business and online marketing outcomes at Oracle, eBay (Triad Retail Media), Conversant (Alliance Data), and AT&T (Cricket Wireless), and has worked with large-scale data at Apple Corporation. Venkata holds a Ph.D. in Leadership and Innovation from Purdue University, a Master’s in Computer Science from the University of Massachusetts – Amherst, and an MBA from the University of California – Davis
Bharath Ramsundar, PhD is the founder and CEO of Deep Forest Sciences, a start-up working to accelerate the use of AI in deep tech. Dr. Ramsundar is also the lead maintainer of the DeepChem project, an open source consortium working to build software for open source medicine discovery. Bharath previously co-founded Computable, a venture-backed start-up building better tools for collaborative dataset management. Dr. Ramsundar has a Computer Science Ph.D. from Stanford University. His research and professional interests include the application of deep learning in drug discovery. Bharath is the lead author of “TensorFlow for Deep Learning :From Linear Regression to Reinforcement Learning”, a developer’s introduction to modern machine learning, with O’Reilly Media, and the lead author of “Deep Learning for the Life Sciences”.
Smriti H. Bhandari is an accomplished researcher and educator with over 28 years of experience in Computer Vision, Machine Learning, and Database Systems. She holds a PhD in Computer Science and Engineering and has held leadership positions at prominent engineering colleges. Smriti has developed and delivered numerous courses and workshops in data science and deep learning, and served as the principal investigator on government-funded projects with applications in medicine and industry. She has received prestigious fellowships, including the Women Scientist and Young Scientist Fellowships, and has published extensively in her field. Smriti also brings industry experience as a freelance researcher and developer.
Vani Kandasamy has a PhD in Information and Communication Engineering from Anna University, Chennai. Her research is focused on applying machine learning techniques to analyze large-scale datasets, resulting in several publications in reputable journals and conferences. She has 10 years of teaching experience as an Assistant Professor at PSG College of Technology. During her tenure as an Assistant Professor, she developed and taught courses on topics such as Computer Vision, Natural Language Processing, Social Network Analysis and Data Privacy. Her ability to convey complex concepts in a clear and engaging manner, fostering a collaborative learning environment, has inspired students to excel in their studies.
See how our students present their findings. Visit our YouTube channel for project walkthroughs and interviews with Ph.D. mentors.
play_circleWATCH ON YOUTUBEAI Research 1:1s are targeted programs designed for students aiming to achieve specific project objectives, such as defining and completing a science fair project, publishing a paper, or entering a competition. In these 1:1 sessions, we collaborate with the student to identify areas of interest for pursuing an AI research project. Once the student and mentor generate an idea, we conduct a feasibility analysis to determine whether we can support the project. If the project is feasible, we then develop a custom curriculum tailored to that specific project.
The curriculum is designed to meet the student and project needs, encompassing concept learning, practical experience in AI and coding, research methodology, and guidance on preparing white papers, presentations, and videos for submission to their target competition, conference, or journal. All projects are eligible to be included in the student's data science portfolio.
Each student is paired with both a mentor and an instructor. The mentor oversees the student's overall development, while the instructor focuses on strengthening the student's understanding of core concepts and skill practice. AIClub assigns a mentor to guide the student throughout the entire project, as well as instructors for specific areas like AI, coding, and presentations. Our design team also collaborates with students to create polished videos or other content needed for their competition entries.
We recommend a 30 min (free) consultation where one of our team members will meet with you and your student to answer any questions you might have about the program.
Typical sessions are 1 hour per week. More can be scheduled if needed (for example if a competition deadline is approaching). Sessions can also be paused, in instances where the student is having APs. The schedule is completely customizable. Our coordinators (coordinator@aiclub.world) will stay in touch with you and make adjustments as needed.
A comprehensive update will be provided after the student reaches a milestone in their project. All sessions are recorded, and the student or parent can review if needed. Recordings are posted to the student's dedicated slack channel after each session. Parents can also inform us and join any session if they need to discuss the project or their targets with their mentor.
The first 2-3 sessions are for brainstorming and learning AI basics, where we'll help you come up with ideas based off your interests and problems that you may want to solve using AI. Learning AI basics will also give you an idea on how to look at the research problem. Brainstorming is done by the mentor in the first half of the session followed by the instructor teaching the concepts in the second half.
Join a community of young innovators changing the world through artificial intelligence. Apply today for a free initial consultation.