Aditya Palaparthi

I'm a master's student in computational science at Harvard University. I'm also a graduate research assistant at MIT's Design Computational and Digital Engineering Lab, where my work focuses on the intersection of generative AI and 3D engineering design and simulation. I recently completed my undergrad in computer science (machine learning focus) at Princeton University with highest honors (summa cum laude), advised by Ryan P. Adams at the intersection of deep generative modeling and inverse design. My core interests lie in industrial ML research and engineering, with a particular passion for developing the next generation of foundational models by expanding reasoning, scaling, and application capabilities. This includes deep generative modeling, deep reinforcement learning, and scalable, efficient ML systems and their underlying AI infrastructure. I'm broadly interested in the practical application of these technologies, particularly drawn to challenges in design, simulation, and manufacturing across video generation, science, engineering, and robotics. I also maintain strong interests in computational cognitive science and neural computation. At Princeton, I was a ML research assistant at the Laboratory for Intelligent Probabilistic Systems, advised by Prof. Ryan P. Adams, where I led the development of a novel generative AI model for inverse mechanical design. I collaborated with Prof. Sarah-Jane Leslie and Prof. Robert Hawkins (Stanford) on machine learning for cognitive modeling, specifically generating novel knowledge graphs given feature datasets. I also love to educate the next generation of innovators in CS with a focus on AI. I have been a Head Undergraduate TA for a variety of courses, such as Mathematics for Machine Learning, Artificial Intelligence, Introduction to Machine Learning, and a variety of Independent Work (research) seminars, such as AI for Engineering and Physics and ML/Data Science. For industry experiences, I was an ML research and engineering intern at Ansys AI (summer 2024) and Synopsys (summer 2025), working on foundational models for 3D engineering design/simulation. I've also done some software engineering at UnitedHealth Group in Summer 2023.