News

  • 10/23/2024 - Our paper on CBayesMBAR is published on JCTC! It provides a principled Bayesian approach to compute free energy differences and uncertainties on perturbation graphs with cycles.

  • 10/18/2024 - Our lab is growing! Anjali, Haoming, and John have joined the lab as PhD graduate students. Looking forward to working with you all!

  • 08/19/2024 - Xinqiang gave two talks at the 2024 ACS Fall Meeting in Denver, Colorado on BayesMBAR, CBayesMBAR, and potential contrasting for force field optimization with experimental data.

  • 07/20/2024 - Xinqiang gave a talk on BayesMBAR at the 2024 CHARMM Developer's Meeting in Baltimore.

  • 07/19/2024 - Checkout the preprint of the manuscript titled "Principled Approach for Computing Free Energy on Perturbation Graphs with Cycles"

  • 07/06/2024 - Our paper on using potential contrasting to optimize force fields with experimental data is published on J. Phys. Chem. B.

  • 06/15/2024 - Kun joins the lab as the lab’s first postdoc. Both John and Saki join the lab as summer interns. Welcome on board!

  • 02/22/2024 - Our paper on BayesMBAR is published on J. Chem. Theory Comput.

  • 01/15/2024 - Welcome undergraduate students - Khoa, Christine, Sophia, and Ryan - to the Ding lab!

  • 11/03/2023 - Congratulations on the first manuscript from the Ding lab! The manuscript is titled “Bayesian Multistate Bennett Acceptance Ratio Methods”

  • 08/16/2023 - The Ding lab is officially open in the Department of Chemistry at the Tufts University in Medford, MA.