About me

Welcome! I’m Nidhish Sagar, a Master’s student at MIT, specializing in Electrical Engineering & Computer Science (EECS + NSE). My research focus is on leveraging Artificial Intelligence (AI) for Science, with particular interests in physics-informed machine learning, hybrid modeling, and multimodal techniques for embodied systems.

Currently, I work on hybrid models that integrate mechanistic and data-driven approaches to optimize industrial chemical processes. I’ve also published research on how machine learning can solve challenges in materials science. Based on the courses I have taken at MIT, I’ve developed a keen interest in applying AI to discover insights into scientific phenomena whose data have complex mathematical relationships.

Previously, my research has spanned diverse topics such as:

• Machine-learned interatomic potentials for disordered rocksalts.
• Functionalization of 2D materials for hydrogen evolution reactions.

With a strong technical foundation, I enjoy working at the intersection of machine learning and scientific domains, exploring how data and algorithms can transform our understanding of complex systems. My efforts have resulted in peer-reviewed publications and international conference presentations (most recently at NeurIPS 2024).

Beyond academics, I’m deeply passionate about teaching and giving back to the community. Beside research, I am a tutor at MIT’s ESOL program, teaching English to non-native staff at MIT.

I am into long-distance running, having won medals in university athletics.

When I’m not working on my projects, you can find me experimenting with coding challenges, exploring new AI frameworks, or enjoying a game of chess. I aim to create a positive impact wherever I go, and am a big believer of working in a team.

Feel free to explore my research, and blog for more insights into my journey. Please feel free to reach out (links on the left) if you’d like to collaborate and/or discuss shared interests!