Aaron Sossin
PHD Candidate
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAaron Sossin is a biomedical engineering PhD candidate and machine learning scientist in New York with eight years of experience building deep learning pipelines for genomics and radiology. He has driven translational projects—from ctDNA detection and UMI‑duplex sequencing analyses at the New York Genome Center to multimodal imaging and genetics work at Columbia’s Kontos Lab—bridging research and production using Keras, TensorFlow, PyTorch, Nextflow/Snakemake and Docker. His work at Stanford produced novel algorithms (MpraNet, GwasNet) and a provisional patent for methods that prioritize regulatory and GWAS signals, and he has led longitudinal cancer detection efforts with real-world sequencing platforms. Comfortable across academic and industry environments, he’s contributed to grant-winning applied AI in radioactive waste detection and teaches software design, reflecting a mix of rigorous computational biology, deployment-savvy engineering, and hands-on experimental understanding.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Neuroscience, Bachelor of Science - BS, Neuroscience at McGill UniversityDEC, Honors Pure and Applied Sciences, DEC, Honors Pure and Applied Sciences at Marianopolis CollegeMaster's degree, Biomedical Informatics, Master's degree, Biomedical Informatics at Stanford University
Github Skills (2)
react1
nodejs1
Programming languages (2)
Github contributions (5)
aaronsossin/Cannabis-MRI-Machine-Learning
Oct 2020 - Nov 2020
Contributions:166 commits, 46 pushes in 28 days
aaronsossin/gnomAD_LD_Easy_Querying
Aug 2022 - Aug 2022
Contributions:11 commits, 27 pushes, 1 branch in 15 days
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