Kevin
Cambridge, England, United Kingdom
Summary
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RockstarKevin Ly is a computational biologist and machine learning researcher with eight years' experience developing scalable AI solutions for biological data, currently pursuing a PhD at the University of Cambridge. He builds and optimises large Transformer models (100M+ parameters) in PyTorch for single-cell and time-resolved perturbation data, delivering 15–30% gains over established methods and speeding training with multi-GPU FlashAttention pipelines. Prior roles at Roche saw him design real-time ETL on GCP and production analytics apps that cut manual lab analysis time, bridging engineering and wet-lab teams. His work spans end-to-end reproducible ML workflows with experiment tracking and has translated into first-author preprints and contributions to high-impact publications. Notably, he combines hands-on genome-editing experiments and large-scale imaging analysis from his ETH Zürich background with deep learning practises, enabling interpretable in silico perturbation studies across thousands of genes.
9 years of coding experience
Github Skills (66)
package-management10
genomics10
next-generation-sequencing10
conda10
infectious-diseases10
sequencing10
pathogen10
visualization10
bioinformatics10
bam9
bioconda9
fasta9
assembly9
java-api9
gwt8
Programming languages (10)
Github contributions (5)
sanger-pathogens/chado-export
Nov 2017 - Mar 2020
A Python application for exporting organism sequences from a CHADO database to GFF file.
Contributions:8 releases, 18 PRs, 37 pushes in 2 years 3 months
pathogenpythongffnext-generation-sequencinggenomics
kpepper/Artemis
Jan 2018 - Nov 2019
Artemis is a free genome viewer and annotation tool that allows visualization of sequence features and the results of analyses within the context of the sequence, and its six-frame translation
Contributions:9 PRs, 42 pushes, 13 branches in 1 year 10 months
sequencegenomeartemisanalysesframe
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