Adeesh Kolluru

Adeesh Kolluru

PhD Student at CMU

About me

I am a fourth-year Ph.D. student advised by John Kitchin (previously by Zachary Ulissi) at Carnegie Mellon University. My work broadly focuses on building efficient machine learning methods and frameworks to accelerate molecular and material discovery. As part of my Ph.D., I have been collaboratively working on the Open Catalyst Project with Meta AI.

Overall, my research has contributed towards -

  • developing an atomic foundation model that works across the domains of molecules, materials, and proteins. (JMP)
  • developing novel state-of-the-art graph neural networks for large-scale molecular and material datasets. (SpinConv, SCN)
  • developing novel transfer learning method that helps with transfer across molecular domains. (TAAG)
  • developing large-scale catalyst datasets focusing on energy applications. (OC22 dataset).
  • analyzing important differences and challenges in training models for large-scale datasets. (OCP Perspective)

In the Summer of 2023, I interned with an early-stage startup, Orbital Materials where I worked with the founding team (Mark Neumann, Jonathan Godwin) on developing a generative foundation model for material design focusing on the applications of porous materials.
In the Summer of 2022, I interned with Meta AI and worked with Brandon Wood, Larry Zitnick. I primarily worked on conceptualizing and developing an atomic foundation model that works across the domains of molecules, materials, and proteins. Additionally, contributed to developing the Open Catalyst 2022 dataset.

My undergraduate research experiences have been broadly related to computational aspects of Chemical Engineering, having completed projects in Deep Learning, Numerical Modeling, MD Simulation, and CFD applications. I have worked on numerous projects with Prof. Anurag Rathore at IIT Delhi in the field of modeling bioprocesses using CFD and Deep Learning. I have also been fortunate to do research internships with Prof. Faye McNeill, Columbia University and Prof. Duane Loh, the National University of Singapore developing machine learning methods for Air Quality and Protein Motif identification applications respectively.

Apart from research and academics, I was involved in various sports and cultural activities at IIT Delhi. Played water polo for the college team and was part of the Debating Club. In my free time, I read non-fiction novels (mind, human behavior, human body, economics), watch movies/TV shows/documentaries, run and swim, play chess (send me a challenge on chess.com), and play the keys.

If you have questions about my research or want to collaborate on anything, feel free to reach out to me via email.

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