Rico Meinl
Head Of Applied AI at Retro Biosciences
Redwood City, California, United States
Summary
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Senior🎓
Top SchoolRico Meinl is Head of Applied AI at Retro Biosciences, bringing eight years of experience at the intersection of machine learning and computational biology. He progressed internally from Bioinformatics Research Engineer to Staff Scientist and now leads applied AI efforts, translating research models into production tools for biotech. Prior roles span machine learning engineering and data engineering across startups and enterprise teams, with hands-on experience in cloud DevOps and ML nanodegrees from Udacity. Based in Redwood City, he combines entrepreneurial instincts—cofounding startups and running a data engineering consultancy—with deep domain focus on biological applications of AI. Notably, his background blends practical production ML delivery with bioinformatics research, making him adept at bridging lab science and scalable software. He maintains a public presence and portfolio at ricomnl.com and on X, signaling an ongoing commitment to community and knowledge sharing.
8 years of coding experience
7 years of employment as a software developer
Cloud DevOps Engineer Nanodegree Cloud Computing, Cloud DevOps Engineer Nanodegree Cloud Computing at UdacityBachelor of Applied Science (B.A.Sc.) Computer Science, Bachelor of Applied Science (B.A.Sc.) Computer Science at Fachhochschule Wedel
English, German, Spanish
Stackoverflow
41reputation
4kreached
0answers
3questions
Github Skills (113)
topological-data-analysis10
density-estimation10
variational-autoencoder10
autoencoder10
single-cell-analysis10
single-cell-genomics10
hierarchical10
temporal-data10
tsne10
probabilistic10
pytorch-geometric10
structural-biology9
protein-sequences9
protein-design9
deep-learning9
Programming languages (8)
Github contributions (5)
retrobiosciences/redun-utils
Jan 2023 - Nov 2024
Contributions:4 reviews, 1 PR, 8 pushes in 1 year 9 months
ricomnl/bioinformatics-pipeline-tutorial
Jan 2022 - Nov 2022
A tutorial on how to create bioinformatics pipelines as bash scripts, Makefiles and using tools like Nextflow.
Contributions:12 commits, 6 PRs, 35 pushes in 10 months
pipelinebash-scriptsbashnextflowbioinformatics
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