Skip to content
View DeshanPerera's full-sized avatar
:electron:
Working from lab
:electron:
Working from lab
6 followers · 5 following

Achievements

Achievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Pull SharkAchievement: Quickdraw

Highlights

Organizations

@theLongLab

Block or report DeshanPerera

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
DeshanPerera/README.md

Hi! My name is Deshan Perera

I am currently a postdoctoral scholar in Prof. Hunter Fraser’s lab at Stanford University.

I obtained my Ph.D. (specializing in Bioinformatics) from the Department of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Canada, while under the supervision of Prof. Quan Long.

My areas of expertise include understanding evolutionary dynamics within organisms and developing high-performance computational solutions to analyze these complex problems.

🥏 Skills

  • Languages: CUDA, C, C++, Java, R
  • Tools & Technologies: Anaconda, Docker, TensorFlow

🛰️ Personal website

  • For more information on what I am working on, please visit my webpage.

🛎️ How to reach me

⭐ Notable repos

If you find the pinned repos useful in your work on evolutionary studies, feel free to leave a ⭐ star and cite them in your publications.

Pinned Loading

  1. theLongLab/CATE theLongLab/CATE Public

    A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests and viral simulations at scale. Related manuscripts: https://doi.org/10.1111/2041-210X.14168 and https://do…

    Cuda 15

  2. theLongLab/TransCOVID theLongLab/TransCOVID Public

    A dedicated pipeline designed for the inference of COVID19 transmission networks in a population complete with the prediction of unsampled sources of infection using SARS-CoV-2 genomic sequences. O…

    R 4

  3. theLongLab/Transmission_Analyzer theLongLab/Transmission_Analyzer Public

    A pipeline that enables the prediction of HIV transmission and Infection date inference. The provided R code can be utilised to analyse a BEAST2 generated MCC tree to predict novel transmission clu…

    R 3