Skip to content
View AkshajD's full-sized avatar
🧠
Happily Coding
🧠
Happily Coding

Highlights

  • Pro
Block or Report

Block or report AkshajD

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.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, 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
AkshajD/README.md

πŸ‘‹ Hey! I'm a 20-year old student exploring the intersection between human longevity, immunology, and cancer, with a dream to eradicate age-related diseases and develop prophylactic (preventative) vaccines for cancer.

πŸ”¬ I am currently working as an undergraduate researcher at the Rauh lab at Queen's University to working on a novel project developing an artificially intelligent model to diagnose clonal hematopoiesis of indeterminate potential (CHIP), a pre-malignant blood condition. Further, I am also investigating the link between mosaic chromosomal loss & CHIP, under the supervision of Caitlyn Vlasschaert, PhD-candidate at the Rauh Lab.

πŸŽ‚ I am also the Chief Scientific Officer and part of the co-founding team at Biotein, a longevity startup aimed at eradicating age-related diseases. We are currently developing a protein-based saliva bio-age test to equip the general population with the information necessary to improve their health and extend their healthspan. In the future, Biotein plans to expand into developing preventative therapies for dementias, which affects 50 million people worldwide, with 10 million new patients every year.

πŸ’‰ As a passion project, I am also exploring the potential of immunotherapies directed against cancer stem cells (CSCs) to prevent cancer relapse and as prophylactic vaccines against cancer.

🏫 Studying Medicine at McMaster University.

πŸ“« Find out more about me on my personal website or on my LinkedIn.

Pinned

  1. Epigenetic-Clock Epigenetic-Clock Public

    This program analyzes methylation levels at six CpG sites in the genome of blood cells to produce a prediction of an individual's biological age, using different machine learning and deep learning …

    Jupyter Notebook 23 5

  2. MutaGuide MutaGuide Public

    Use homology analysis, secondary structure prediction, and relative solvent accessibility prediction to optimize amino acid residue replacements.

    Python