approachable, and creative learning experience grounded in a humanities-oriented teaching philosophy. He demonstrated how creatively he designs assignments to empower students taking ownership, with student work showcasing high levels of engagement and intrinsic motivation.
Congratulations to Dr. Peng Tao for receiving SMU President's Associates Outstanding Faculty Award for Teaching Excellence!
The committee viewed Dr. Tao as a clear outlier, noting his remarkable ability to transform a traditionally “sterile” subject into a thoughtful,
Check out our recent work on TSS-Pro for protein trajectory-space sampling. We’re now pushing into a challenging but exciting direction: using generative AI to sample molecular dynamics trajectory space. https://t.co/l6fQAWApHS
We are seeking a highly motivated and talented Postdoctoral Research Fellow
to join the Tao research group in the Theoretical and Computational Chemistry
program at Southern Methodist University.
https://t.co/PbcwtbifOX
My last piece of PhD work is now available at @NAR_Open! We summarized a series of machine learning models on protein allosteric site prediction. Our web server https://t.co/W9iYJdnrKM has attracted 49k+ visits and executed 6k+ jobs.
https://t.co/xFfpyJibss
Our work "LAST: Latent Space-Assisted Adaptive Sampling for Protein Trajectories" has been accepted by ICML 22 workshop @AI_for_Science, spotlight #MLCB2022, and finally in JCIM @JCIM_JCTC! https://t.co/usJA2Szvkw
We have a computational/theoretical chemistry postdoc position opening in Tao group at the Southern Methodist University. The focus is to develop theoretical models to describe enzyme evolution in terms of catalytic mechanisms using QM/MM methods. https://t.co/cZjfbxapaN
De"bug": the fan of our linux box stopped working after power outage yesterday. It turned out that there was literally a bug in the fan to clog it. A tribute to Grace Hopper, whose team coined term "debug" in 1940s by removing a moth from their computer to get it work again!
Mechanistic Insights into Enzyme Catalysis from Explaining Machine-Learned Quantum Mechanical and Molecular Mechanical Minimum Energy Pathways
By Peng Tao et al @TaoGroupSMU @_hao_tian @SMU
Open access in ACS Physical Chemistry Au 👉 https://t.co/HPDaWB44dR
Congratulations to our Fall 2022 Chemical Computing Group (@CCG_MOE) Excellence Award for Graduate Students Winners! Hung Do (@hungd238), Lixin Lu, Aditya Nandy (@realadityanandy), Paul Robinson, and Hao Tian (@_hao_tian)
Hao Tian (@_hao_tian) is in Peng Tao’s group (@TaoGroupSMU) at @SMU, researching “Iterative expansion of protein conformational space with variational autoencoder” @SMU_Chemistry
Congratulations to @_hao_tian for winning the best poster award of the theoretical and computational chemistry group in the graduate poster session at @SMUEngaged@smuresearch Research and Innovation Week! Check his work https://t.co/O6IeCkfMkO @FrontMolBioSci for more details!
In this #computationalbiology study on Light-Oxygen-Voltage 2 domain, authors used computational tools to analyze transitions between light/dark states and chose #ProteinImager to illustrate their findings 😍
SMU is collaborating with @NVIDIA, investing $11.5 million to dramatically boost the University’s high-performance computing system.
It’s a game-changer for artificial intelligence research, with real benefits for North Texas’ growth as a technology hub. https://t.co/1YtYzVDoWf
Our work "Explore protein conformational space with variational autoencoder" has been accepted to @FrontMolBioSci. Congrats to @_hao_tian @F_Trozzi@sian_xiao and great collaboration with @ec_larson! https://t.co/O6IeCkfMkO