🎉 May 2024: AdsorbDiff is accepted at ICML 2024!

📄 Oct 2023: Our Joint Multi-domain Pretraining JMP across 3D atomic datasets is out.

🚀 May 2023: Will be interning with early-stage startup Orbital Materials.

🌍 Aug 2022: Mentoring at Tackling Climate Change with ML workshop, NeurIPS'22.

📊 Jun 2022: Spherical Channel Network (SCN) paper is up.

📈 Jun 2022: OC22 Dataset for oxide electrocatalysis is up.

🏆 Jun 2022: Open Catalyst Challenge is announced for NeurIPS 2022!

📝 Jun 2022: Perspective on challenges with training ML models for materials is up.

🎤 May 2022: Gave a talk on Transfer Learning at Toyota Research Institute (TRI) workshop!

📄 Apr 2022: TAAG paper is published.

🤖 Mar 2022: Will be interning at Meta AI this summer!

🏅 Feb 2022: Received Phillips and Huang Family Fellowship in Energy [press]

📚 Jan 2022: OCP Tutorial as part of Climate Change AI Workshop at NeurIPS

🎤 Nov 2021: Gave a talk at AIChE 2021 on Transfer Learning with GNNs on Molecular Datasets

📄 Jun 2021: SpinConv paper is up on arxiv

🏆 Jun 2021: Open Catalyst Challenge announced for NeurIPS 2021

🎓 Jun 2021: Excited to be selected for LOGML Summer School!