# Mohammed Khan

> Software Engineer & Computational Biologist

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/mohammedkhan

## Work Experience
### Software Engineer @ Zwift
Jan 2020 – Jan 2024

### Postdoctoral Fellow @ Yale University School of Medicine
Jan 2018 – Jan 2019 | New Haven, Connecticut, United States
Design of Scalable Systems for Analysis of Lupus and Pharmaceutical Datasets
• Developed an automated, scalable system that improved bandwidth and latency for pathway and gene analysis using Python and Python libraries.
• Developed algorithms automating analysis and visualization of immunotherapeutic efficacy of anticancer agent using Python.
• Technologies: Python, Scipy, Numpy, Pandas, Matplotlib, GSEA

### Ph.D. Graduate Student @ Yale University
Jan 2012 – Jan 2018 | New Haven, Connecticut, United States
Development of Scalable, Big Data Computational Tools for Neoepitope Detection in Cancer
• Developed an automated neoepitope identification system using Python that increased capabilities, throughput, and latency by 10x with novel functionality and leveraging APIs.
• Developed an automated gene fusion detection system using Python and Ruby that identified at least 2 constitutively active gene fusions in vivo by implementing novel metrics and annotation mappings.
• Technologies: Python, Scipy, Numpy, Pandas, Matplotlib, Ruby, Tophat, Ensembl VEP API, IEDB API


## Education
### Doctor of Philosophy - PhD in Biomathematics, Bioinformatics, and Computational Biology
Yale University
Jan 2012 – Jan 2018

### Bachelor of Engineering - BE in Bioengineering and Biomedical Engineering
University of Pennsylvania
Jan 2005 – Jan 2009


## Contact & Social
- LinkedIn: https://linkedin.com/in/mohamkkhan

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Source: https://flows.cv/mohammedkhan
JSON Resume: https://flows.cv/mohammedkhan/resume.json
Last updated: 2026-03-23