Summary
Miriam Cheng is a web developer and Stanford Math & CS student with nine years of hands-on experience applying engineering to finance, biotech, and open-source projects. She built a production analytics tool at Morgan Stanley that accelerated fixed-income trading decisions and contributed ML-driven search relevance code to OpenSearch at AWS. Her research background spans bioengineering work on bacterial membrane biophysics and clinical-trial analysis in biotech, giving her a rare mix of quantitative, experimental, and product-focused instincts. A skilled communicator, she has presented technical results to trading divisions and published humanities research from a Cambridge fellowship. Based in Palo Alto, she blends rigorous math training with practical software delivery and an unusual curiosity about sensory biology that informs her interdisciplinary approach.
9 years of coding experience
1 year of employment as a software developer
K3-G12, K3-G12 at The ISF Academy
Master of Science - MS, Computer Science (AI Track), Master of Science - MS, Computer Science (AI Track) at Stanford University