Tag: UAB

CGDS and U-BDS Host R-Focused Carpentry Workshop


UAB’s CGDS and the U-BDS (Biological Data Science Core) held a Software Carpentry Workshop on December 14-15, 2023, to teach researchers computational skills. Instructors Manavalan Gajapathy, Austyn Trull, Bharat Mishra, Shaurita Hutchins, and Samuel Bharti, with the help of Santhosh Karthikeyan, Nilesh Kumar, Tarun Mamidi, and Yuwei Song, led sessions on the Unix Shell, version control with Git, and R and RStudio. The workshop included hands-on exercises and covered topics like data frame manipulation with dplyr and creating graphics with ggplot2. The event was designed to enhance participants’ technical skills and encourage using computational methods in research.

Learn more about the workshop at: https://u-bds.github.io/2023-12-14-uab/.

U-BDS member, Bharat Mishra, teaching about R.
U-BDS member, Austyn Trull, waiting to help attendees.
CGDS PhD trainee, Samuel Bharti, teaching about R.
CGDS PhD trainee, Shaurita Hutchins, teaching about R & RStudio.
Current UAB GBS doctoral student, Yuwei Song, observing attendees to ensure they get help.

CGDS Trainee Presents at the UAB Cystic Fibrosis Research Center Symposium

On October 4, 2023, Tarun Mamidi, a doctoral candidate in CGDS, showcased his research at the UAB Cystic Fibrosis Research Center Symposium, focusing on the use of neural networks to identify modifier variants in Cystic Fibrosis (CF).

His work aims to improve our understanding of how these variants can change how CF affects individuals and their response to treatments. By applying advanced neural network techniques, Tarun’s research offers potential pathways for more precise and effective therapeutic strategies.

Congratulations to Tarun!