Hi, I’m Angel Mak, a self-motivated bioinformatician
with a growth mindset, committed to driving innovation
in precision medicine and advancing the healthcare industry.
WGS, WES, RNA-seq, scRNA-seq, ctDNA, proteomics, epigentics, biomarker discovery,
patient selection, indication selection,
cancer therapeutics, complex diseases, statistical genetics,
R, Python
Statistical modeling, machine learning (elastic net regression, scikit-learn, TensorFlow, deep learning)
AWS (ParallelCluster, EC2, S3, Batch, Lambda),
SLURM, Netflow, Docker, git,
Python, Unix shell scripting
