Daniel Colin Morgan
Research Engineer focused on building products with extra attention to details
About
As a Bioinformaticist turned Engineer, I have successfully taken multiple products from 0 to 1. I have over 10 years of experience in working with universities and companies all around the world. I lead and contribute to teams effectively, ensuring a team can do its best work. I work mostly with Python, CUDA/RAPIDS and Bash. Recently, I turned to building products that solve real-world problems.
Work Experience
Modegen-AIworld
AI Lead, co-founder
Graphistryearth
Research Engineer
Harvard Medical SchoolBoston, MA
Postdoctoral Research Fellow
Hong Kong UniveristyHong Kong, HKSAR
Research Fellow
Education
Stockholm University
Ohio State University
Skills
Projects
Viral_Snake
Message Passing Family of Algorithms for Inferring Biological Networks
GeneSPIDER
Platform for synthetic biological data generation and network inference
Publications
Using Methylation data to improve transctipion factor binding prediction
Repurposing open-source data to improve TF-binding prediction over conventional inference methods
MetaQuad: shared informative variants discovery in metagenomic samples
MetaQuad utilizes a density-based clustering technique to effectively distinguish between shared variants and non-polymorphic sites using shotgun metagenomic data.
Perturbation-based gene regulatory network inference to unravel oncogenic mechanisms
A generalized framework for controlling FDR in gene regulatory network inference
Repurposing open-source data to improve TF-binding prediction over conventional inference methods
Altered human gut virome in patients undergoing antibiotics therapy for Helicobacter pylori
Our results demonstrate that H. pylori eradication therapies not only result in transient alteration in gut microbiota but also significantly alter the previously less known gut virome community.
GeneSPIDER
Inferring biological networks at scale from single-cell and bulk -omics data
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