 
                                BMES at UTSW
@bmesatutsw
Biomedical Engineering Society at UT Southwestern Medical Center. Highlighting latest research, students, and outreach at the forefront of biomedicine.
ID: 1291425358059798528
https://utsouthwestern-edu.zoom.us/j/97599833649?pwd=dTVSM2N4VTg2STJtMEdtN1lUTkxyZz09 06-08-2020 17:26:34
141 Tweet
171 Followers
130 Following
 
         
         
         
         
         
         
        UTSW BME PhD candidate, Jace Grandinetti, has matched at UPenn! Congratulations! UTSW BME Grad Program
 
         
        UTSW BME PhD candidate, Zi Yang, has matched at Stanford University! Congratulations! UTSW BME Grad Program
 
         
         
         
        ICYMI: We have extended the deadline to submit your abstracts! Due to strong demand, we are keeping the portal open & the ๐๐๐ฃ๐๐ก ๐๐๐๐๐ก๐๐ฃ๐ ๐๐จ ๐๐ค๐ฃ๐๐๐ฎ ๐๐๐ฎ 8. Read the submission guide & submit today: ow.ly/RAy550O6mkJ #biomedicalengineering #BMES2023
 
                        
                    
                    
                    
                 
        We had a blast hosting UTSW Media Relations Summer Scholars at our ice cream social last Friday! ๐ฅณ Hopefully, we gave them some good insights on Bioinformatics academic and career paths. #Bioinformatics #ComputationalBiology #IceCreamSocial BMES at UTSW UTSW Computational Biology BioHPC at UT Southwestern Dr. Arnaldo Dรญaz
 
                        
                    
                    
                    
                 
         
         
         
         
         
         
         
                         
                        ![BMES at UTSW (@bmesatutsw) on Twitter photo Announcing the defense of Medical Physics PhD candidate, Zi Yang [co-mentored by Dr. Xuejun Gu (Stanford University) & Dr. Weiguo Lu of the MAIA Lab]. Preview: We present a collection of novel AI techniques for efficient and effective SRS management and FLASH-RT quantification. Announcing the defense of Medical Physics PhD candidate, Zi Yang [co-mentored by Dr. Xuejun Gu (Stanford University) & Dr. Weiguo Lu of the MAIA Lab]. Preview: We present a collection of novel AI techniques for efficient and effective SRS management and FLASH-RT quantification.](https://pbs.twimg.com/media/Fr2GoW9X0AAQW5i.png) 
                         
                         
                         
                         
                         
                         
                         
                         
                         
                        