Marcus Leiwe
Founder at MetaCell
Hong Kong Island, Hong Kong, China
Summary
👤
Senior🎓
Top SchoolMarcus Leiwe is a founder and senior data consultant with ~8–10 years of cross-sector experience turning complex life sciences, health, fintech, and crypto data into production analytics and strategic guidance. With a PhD in Developmental Neurobiology, he blends deep scientific rigour with hands-on engineering in Python, SQL and MATLAB, delivering end-to-end pipelines and deployable models on AWS, Railway and Vercel. He has led distributed, cross-functional teams and been the primary client contact for projects ranging from multiomic analysis platforms to CNN extensions that accelerate neuron identification. Notable wins include a bot-detection system that stopped over $10,000 of fraud in 72 hours and a timely, under-budget NIH market-research engagement. Marcus mentors junior engineers, drives data literacy and scalable best practices, and brings an unusual mix of wet-lab experience and production ML—he once replaced legacy lab tooling and created a novel clustering algorithm (dCrawler) that underpinned multiple published studies.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Developmental Neurobiology, Doctor of Philosophy (PhD) Developmental Neurobiology at King's College London
Stackoverflow
35reputation
603reached
1answer
3questions
Github Skills (23)
watson9
mlops8
machine-learning8
threshold7
gaussian-mixture-models7
python7
curve-fitting6
dataframe6
pivot-tables6
pandas6
matlab6
exponential6
r6
clustering-algorithm6
data-science6
Programming languages (6)
Github contributions (5)
mleiwe/QDyeFinder
Nov 2022 - Feb 2023
QDye Finder is a pipeline that is used to cluster fragments based on their colour alone
Contributions:5 reviews, 14 commits, 16 PRs in 3 months
mleiwe/dCrawler
Oct 2022 - May 2024
dCrawler is a fully independent clustering algorithm that only requires a distance threshold (Th(d))
Contributions:1 review, 11 PRs, 17 pushes in 1 year 7 months
pythonk-meansindependentthresholdgaussian-mixture-models
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