Summary
Mohammed Saqib is a PhD student at the University of Pennsylvania with a decade of experience at the intersection of biomedical engineering and software engineering, focused on impactful healthcare projects. A Georgia Tech double major in Computer Science and Biomedical Engineering with top grades, he brings hands-on experience building clinical prediction models, LSTM classifiers, and data pipelines for sepsis and mortality prediction using MIMIC datasets. He has applied that domain expertise in research roles at NIH and Harvard Medical School and in industry as a software engineer, shipping VueJS front-ends, Go microservices, and Kubernetes-based deployments. Comfortable across the stack, he combines rigorous academic methods (nested cross-validation, careful data imputation) with production-grade engineering (containerization, Vault, SLURM optimizations). Notably, he has identified information leakage in published pipelines—demonstrating a knack for critical analysis that improves both research validity and clinical impact.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Bioinformatics, 3.93 GPA, Bachelor's degree, Bioinformatics, 3.93 GPA at Georgia Institute of Technology
High School Diploma, 4.0, High School Diploma, 4.0 at Roswell High School
English