Please join us for a seminar with Dr. Tian Xie, a senior researcher and project lead at Microsoft Research AI4Science. The seminar is titled “MatterGen: a generative model for inorganic materials design.”
The seminar will begin at 2:30 PM on Friday, Feb. 23 in Gillman Hall 50.
This seminar will also be accessible virtually. Connection information will be distributed the morning of the seminar via email. Those interested in attending who are not on HEMI’s email list can reach out to Sarah Preis at [email protected] for connection information.
Bio: Tian Xie is a senior researcher and project lead at Microsoft Research AI4Science. He leads a team of researchers, engineers, and program manager to develop the next generation machine learning models for materials discovery. Before joining Microsoft, he was a postdoc in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT from 2020 to 2022, co-advised by Tommi Jaakkola and Regina Barzilay. He got his PhD in Materials Science and Engineering at MIT in 2020, advised by Jeffrey C. Grossman. Tian is most known for his research in graph representation learning and generative models for materials, including widely used models like CGCNN and CDVAE.
