Alos Diallo
E.E. Just Liftoff Fellow - Quantitative Biomedical Sciences
Hanover, New Hampshire, United States
Summary
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SeniorAlos Diallo is an AI and machine learning research scientist with 13 years of software engineering and bioinformatics experience, currently an E.E. Just Liftoff Fellow at Dartmouth applying statistical and ML methods to cancer immunology and heart-failure research. He combines full-stack development and HPC systems administration with deep expertise in R and Python for transcriptomics, single-cell and epigenetic analyses on SLURM/Singularity clusters. His work spans building integrative pipelines (DNA methylation, ATAC-seq, spatial transcriptomics), developing transformer and LLM models for immune lineage modeling, and delivering clinician-facing ML tools at scale for the VA. A seasoned educator and head teaching fellow at Harvard, he regularly teaches applied statistics and machine learning to biomedical audiences. Notably, he bridges production-grade engineering and hands-on lab science—translating raw sequencing data into reproducible analyses and interpretable models that inform patient-centered research.
13 years of coding experience
22 years of employment as a software developer
Stackoverflow
2,697reputation
442kreached
36answers
25questions
Github Skills (23)
seq9
cran9
rna-seq9
genomics8
immunology8
single-cell-genomics8
bioinformatics8
spatial-transcriptomics7
gene-expression7
dendrogram6
cluster-analysis6
dos6
heatmap6
virtualbox6
pipeline6
Programming languages (2)
Github contributions (5)
alosdiallo/GAIN
Dec 2012 - Feb 2021
Contributions:5 commits, 2 pushes in 8 years 2 months
alosdiallo/HMS_Immunology_RNASeq
Nov 2019 - Jul 2022
This is the pipeline for RNA Seq analysis for labs in the HMS Immunology Department
Contributions:1 review, 2 PRs, 48 pushes in 2 years 8 months
pipelinerna-seq-analysishmsbioinformaticsdepartment
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