Advaith Ravishankar
Multimodal AI Researcher
Harvard University
Biography
Advaith Ravishankar is a Multimodal AI researcher at Harvard University, focusing on multimodal foundation models, Embodied AI methods, and Digital Twins. He is a research assistant at the Harvard AI and Robotics Lab, working with Dr. Mengyu Wang.
Previously, he conducted research at the Salk Institute for Biological Studies at the Talmo Lab with mentorship from Dr. Talmo Pereira, developing sample-efficient and low-latency computer vision models for 2D/3D markerless tracking. He has also been mentored by Dr. Rajeev Jain at Qualcomm, working on generative AI methods for VLSI.
He is currently a Master's student at Harvard University pursuing a degree in Computational Science and Engineering. Previously, he completed his undergraduate studies at UC San Diego, double majoring in Mathematics-Computer Science and Cognitive Science Specializing in Machine Learning and Neural Computation.
Beyond research, he served as President of the Data Science Student Society at UC San Diego, one of the largest Data Science student organizations in the world, for the 2024–2025 term. In 2024, he served as a hackathon judge for DataHacks and was a public speaker at UC San Diego, delivering talks on Generative AI and providing research mentorship to student teams.
Experience
ML Research Assistant
Harvard AI and Robotics Lab
Building Vision Language Models and Vision Language Action models for AI smart devices and robots.
ML Research Assistant
Salk Institute for Biological Studies — Talmo Lab
Built markerless 2D and 3D pose tracking models using UNets and Vision Transformers.
AI/ML Research Intern
Qualcomm
Worked on Generative AI models on the Global Machine Learning R&D Team.
President
Data Science Student Society at UC San Diego
Led a 500+ person organization, fostering industry-academic synergy.
AI/ML Research Scientist
Probe Information Services
Developed a recommendation system for financial similarity using GraphSAGE.
Education
Harvard John A. Paulson School of Engineering and Applied Sciences
ME. Computational Science and Engineering
UC San Diego
BS. Mathematics and Computer Science & BS. Cognitive Science Specializing in Machine Learning and Neural Computation